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TextDetection.cpp
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TextDetection.cpp
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/*
Copyright 2012 Andrew Perrault and Saurav Kumar.
This file is part of DetectText.
DetectText is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
DetectText is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with DetectText. If not, see <http://www.gnu.org/licenses/>.
*/
#include <cassert>
#include <cmath>
#include <iostream>
#include <opencv/cv.h>
#include <opencv/highgui.h>
#include <opencv/cxcore.h>
#include <math.h>
#include <time.h>
#include <utility>
#include <algorithm>
#include <vector>
#include <TextDetection.h>
#include <queue>
using namespace std;
#define PI 3.14159265
std::vector<std::pair<CvPoint,CvPoint> > findBoundingBoxes( std::vector<std::vector<Point2d> > & components,
std::vector<Chain> & chains,
std::vector<std::pair<Point2d,Point2d> > & compBB,
IplImage * output) {
std::vector<std::pair<CvPoint,CvPoint> > bb;
bb.reserve(chains.size());
for (std::vector<Chain>::iterator chainit = chains.begin(); chainit != chains.end(); chainit++) {
int minx = output->width;
int miny = output->height;
int maxx = 0;
int maxy = 0;
for (std::vector<int>::const_iterator cit = chainit->components.begin(); cit != chainit->components.end(); cit++) {
miny = std::min(miny,compBB[*cit].first.y);
minx = std::min(minx,compBB[*cit].first.x);
maxy = std::max(maxy,compBB[*cit].second.y);
maxx = std::max(maxx,compBB[*cit].second.x);
}
CvPoint p0 = cvPoint(minx,miny);
CvPoint p1 = cvPoint(maxx,maxy);
std::pair<CvPoint,CvPoint> pair(p0,p1);
bb.push_back(pair);
}
return bb;
}
std::vector<std::pair<CvPoint,CvPoint> > findBoundingBoxes( std::vector<std::vector<Point2d> > & components,
IplImage * output) {
std::vector<std::pair<CvPoint,CvPoint> > bb;
bb.reserve(components.size());
for (std::vector<std::vector<Point2d> >::iterator compit = components.begin(); compit != components.end(); compit++) {
int minx = output->width;
int miny = output->height;
int maxx = 0;
int maxy = 0;
for (std::vector<Point2d>::iterator it = compit->begin(); it != compit->end(); it++) {
miny = std::min(miny,it->y);
minx = std::min(minx,it->x);
maxy = std::max(maxy,it->y);
maxx = std::max(maxx,it->x);
}
CvPoint p0 = cvPoint(minx,miny);
CvPoint p1 = cvPoint(maxx,maxy);
std::pair<CvPoint,CvPoint> pair(p0,p1);
bb.push_back(pair);
}
return bb;
}
void normalizeImage (IplImage * input, IplImage * output) {
assert ( input->depth == IPL_DEPTH_32F );
assert ( input->nChannels == 1 );
assert ( output->depth == IPL_DEPTH_32F );
assert ( output->nChannels == 1 );
float maxVal = 0;
float minVal = 1e100;
for( int row = 0; row < input->height; row++ ){
const float* ptr = (const float*)(input->imageData + row * input->widthStep);
for ( int col = 0; col < input->width; col++ ){
if (*ptr < 0) { }
else {
maxVal = std::max(*ptr, maxVal);
minVal = std::min(*ptr, minVal);
}
ptr++;
}
}
float difference = maxVal - minVal;
for( int row = 0; row < input->height; row++ ){
const float* ptrin = (const float*)(input->imageData + row * input->widthStep);\
float* ptrout = (float*)(output->imageData + row * output->widthStep);\
for ( int col = 0; col < input->width; col++ ){
if (*ptrin < 0) {
*ptrout = 1;
} else {
*ptrout = ((*ptrin) - minVal)/difference;
}
ptrout++;
ptrin++;
}
}
}
void renderComponents (IplImage * SWTImage, std::vector<std::vector<Point2d> > & components, IplImage * output) {
cvZero(output);
for (std::vector<std::vector<Point2d> >::iterator it = components.begin(); it != components.end();it++) {
for (std::vector<Point2d>::iterator pit = it->begin(); pit != it->end(); pit++) {
CV_IMAGE_ELEM(output, float, pit->y, pit->x) = CV_IMAGE_ELEM(SWTImage, float, pit->y, pit->x);
}
}
for( int row = 0; row < output->height; row++ ){
float* ptr = (float*)(output->imageData + row * output->widthStep);
for ( int col = 0; col < output->width; col++ ){
if (*ptr == 0) {
*ptr = -1;
}
ptr++;
}
}
float maxVal = 0;
float minVal = 1e100;
for( int row = 0; row < output->height; row++ ){
const float* ptr = (const float*)(output->imageData + row * output->widthStep);
for ( int col = 0; col < output->width; col++ ){
if (*ptr == 0) { }
else {
maxVal = std::max(*ptr, maxVal);
minVal = std::min(*ptr, minVal);
}
ptr++;
}
}
float difference = maxVal - minVal;
for( int row = 0; row < output->height; row++ ){
float* ptr = (float*)(output->imageData + row * output->widthStep);\
for ( int col = 0; col < output->width; col++ ){
if (*ptr < 1) {
*ptr = 1;
} else {
*ptr = ((*ptr) - minVal)/difference;
}
ptr++;
}
}
}
void renderComponentsWithBoxes (IplImage * SWTImage, std::vector<std::vector<Point2d> > & components,
std::vector<std::pair<Point2d,Point2d> > & compBB, IplImage * output) {
IplImage * outTemp =
cvCreateImage ( cvGetSize ( output ), IPL_DEPTH_32F, 1 );
renderComponents(SWTImage,components,outTemp);
std::vector<std::pair<CvPoint,CvPoint> > bb;
bb.reserve(compBB.size());
for (std::vector<std::pair<Point2d,Point2d> >::iterator it=compBB.begin(); it != compBB.end(); it++ ) {
CvPoint p0 = cvPoint(it->first.x,it->first.y);
CvPoint p1 = cvPoint(it->second.x,it->second.y);
std::pair<CvPoint,CvPoint> pair(p0,p1);
bb.push_back(pair);
}
IplImage * out =
cvCreateImage ( cvGetSize ( output ), IPL_DEPTH_8U, 1 );
cvConvertScale(outTemp, out, 255, 0);
cvCvtColor (out, output, CV_GRAY2RGB);
//cvReleaseImage ( &outTemp );
//cvReleaseImage ( &out );
int count = 0;
for (std::vector<std::pair<CvPoint,CvPoint> >::iterator it= bb.begin(); it != bb.end(); it++) {
CvScalar c;
if (count % 3 == 0) c=cvScalar(255,0,0);
else if (count % 3 == 1) c=cvScalar(0,255,0);
else c=cvScalar(0,0,255);
count++;
cvRectangle(output,it->first,it->second,c,2);
}
}
void renderComponentsWithBoxes(IplImage *SWTImage, vector<Component> &components, IplImage* output)
{
vector<vector<Point2d> > compPoints;
vector<pair<Point2d, Point2d> > compBB;
for (int i = 0; i < components.size(); i++)
{
compPoints.push_back(components[i].componentPoints);
compBB.push_back(components[i].compBB);
}
renderComponentsWithBoxes (SWTImage, compPoints, compBB, output);
}
void renderChainsWithBoxes (IplImage * SWTImage,
std::vector<std::vector<Point2d> > & components,
std::vector<Chain> & chains,
std::vector<std::pair<Point2d,Point2d> > & compBB,
IplImage * output) {
// keep track of included components
std::vector<bool> included;
included.reserve(components.size());
for (unsigned int i = 0; i != components.size(); i++) {
included.push_back(false);
}
for (std::vector<Chain>::iterator it = chains.begin(); it != chains.end();it++) {
for (std::vector<int>::iterator cit = it->components.begin(); cit != it->components.end(); cit++) {
included[*cit] = true;
}
}
std::vector<std::vector<Point2d> > componentsRed;
for (unsigned int i = 0; i != components.size(); i++ ) {
if (included[i]) {
componentsRed.push_back(components[i]);
}
}
IplImage * outTemp =
cvCreateImage ( cvGetSize ( output ), IPL_DEPTH_32F, 1 );
std::cout << componentsRed.size() << " components after chaining" << std::endl;
renderComponents(SWTImage,componentsRed,outTemp);
std::vector<std::pair<CvPoint,CvPoint> > bb;
bb = findBoundingBoxes(components, chains, compBB, outTemp);
IplImage * out =
cvCreateImage ( cvGetSize ( output ), IPL_DEPTH_8U, 1 );
cvConvertScale(outTemp, out, 255, 0);
cvCvtColor (out, output, CV_GRAY2RGB);
cvReleaseImage ( &out );
cvReleaseImage ( &outTemp);
int count = 0;
for (std::vector<std::pair<CvPoint,CvPoint> >::iterator it= bb.begin(); it != bb.end(); it++) {
CvScalar c;
if (count % 3 == 0) c=cvScalar(255,0,0);
else if (count % 3 == 1) c=cvScalar(0,255,0);
else c=cvScalar(0,0,255);
count++;
cvRectangle(output,it->first,it->second,c,2);
}
}
void renderChainsWithBoxes(IplImage *SWTImage, vector<Component> &components, vector<Chain> &chains, IplImage *output)
{
std::vector<std::vector<Point2d> > componentPoints;
vector<pair<Point2d, Point2d> > compBB;
for (int i = 0; i < components.size(); i++)
{
componentPoints.push_back(components[i].componentPoints);
compBB.push_back(components[i].compBB);
}
renderChainsWithBoxes(SWTImage, componentPoints, chains, compBB, output);
}
void renderChains (IplImage * SWTImage,
std::vector<std::vector<Point2d> > & components,
std::vector<Chain> & chains,
IplImage * output) {
// keep track of included components
std::vector<bool> included;
included.reserve(components.size());
for (unsigned int i = 0; i != components.size(); i++) {
included.push_back(false);
}
for (std::vector<Chain>::iterator it = chains.begin(); it != chains.end();it++) {
for (std::vector<int>::iterator cit = it->components.begin(); cit != it->components.end(); cit++) {
included[*cit] = true;
}
}
std::vector<std::vector<Point2d> > componentsRed;
for (unsigned int i = 0; i != components.size(); i++ ) {
if (included[i]) {
componentsRed.push_back(components[i]);
}
}
std::cout << componentsRed.size() << " components after chaining" << std::endl;
IplImage * outTemp =
cvCreateImage ( cvGetSize ( output ), IPL_DEPTH_32F, 1 );
renderComponents(SWTImage,componentsRed,outTemp);
cvConvertScale(outTemp, output, 255, 0);
cvReleaseImage(&outTemp);
}
void renderChains (IplImage * SWTImage,
std::vector<Component> &components,
std::vector<Chain> & chains,
IplImage * output)
{
std::vector<std::vector<Point2d> > componentPoints;
for (int i = 0; i < components.size(); i++)
{
componentPoints.push_back(components[i].componentPoints);
}
renderChains(SWTImage, componentPoints, chains, output);
}
float computeChainsTotalSWT(IplImage* SWTImage, vector<Point2d> &points)
{
float totalSWT = 0;
for (int i = 0; i < points.size(); i++)
{
totalSWT += CV_IMAGE_ELEM(SWTImage, float, points[i].y, points[i].x);
}
return totalSWT;
}
float computeChainsTotalArea(vector<Point2d> &points, cv::RotatedRect &rRect)
{
vector<cv::Point> pointsForOpenCV(points.size());
for (int i = 0; i < points.size(); i++)
{
pointsForOpenCV[i] = cv::Point(points[i].x, points[i].y);
}
rRect = cv::minAreaRect(pointsForOpenCV);
int width = rRect.size.height;
int length = rRect.size.width;
return width*length;
}
cv::RotatedRect findHeadlineLocation(IplImage* SWTImage,
std::vector<Component> &components,
std::vector<Chain> &chains)
{
int maxScore = 0;
cv::RotatedRect headLocation;
for (std::vector<Chain>::iterator it = chains.begin(); it != chains.end();it++) {
vector<Point2d> points;
for (std::vector<int>::iterator cit = it->components.begin(); cit != it->components.end(); cit++) {
points.insert(points.end(), components[*cit].componentPoints.begin(), components[*cit].componentPoints.end());
}
float SWTScore = computeChainsTotalSWT(SWTImage, points);
cv::RotatedRect tmpLoc;
float AreaScore = computeChainsTotalArea(points, tmpLoc);
if (SWTScore+AreaScore > maxScore)
{
maxScore = SWTScore + AreaScore;
headLocation = tmpLoc;
}
}
return headLocation;
}
void drawRotatedRect(cv::Mat img, cv::RotatedRect &rRect, cv::Scalar color, int thickness)
{
assert((rRect.size.height != 0) &&(rRect.size.width != 0));
cv::Point2f vertices[4];
rRect.points(vertices);
for (int i = 0; i < 4; i++)
{
line(img, vertices[i], vertices[(i+1)%4], color, thickness);
}
}
IplImage * textDetection (IplImage * input, bool dark_on_light)
{
assert ( input->depth == IPL_DEPTH_8U );
assert ( input->nChannels == 3 );
std::cout << "Running textDetection with dark_on_light " << dark_on_light << std::endl;
// Convert to grayscale
IplImage * grayImage =
cvCreateImage ( cvGetSize ( input ), IPL_DEPTH_8U, 1 );
cvCvtColor ( input, grayImage, CV_RGB2GRAY );
// Create Canny Image
double threshold_low = 100;
double threshold_high = 200;
IplImage * edgeImage =
cvCreateImage( cvGetSize (input),IPL_DEPTH_8U, 1 );
cvCanny(grayImage, edgeImage, threshold_low, threshold_high, 3) ;
cvSaveImage ( "canny.png", edgeImage);
// Create gradient X, gradient Y
IplImage * gaussianImage =
cvCreateImage ( cvGetSize(input), IPL_DEPTH_32F, 1);
cvConvertScale (grayImage, gaussianImage, 1./255., 0);
cvSmooth( gaussianImage, gaussianImage, CV_GAUSSIAN, 5, 5);
IplImage * gradientX =
cvCreateImage ( cvGetSize ( input ), IPL_DEPTH_32F, 1 );
IplImage * gradientY =
cvCreateImage ( cvGetSize ( input ), IPL_DEPTH_32F, 1 );
cvSobel(gaussianImage, gradientX , 1, 0, CV_SCHARR);
cvSobel(gaussianImage, gradientY , 0, 1, CV_SCHARR);
cvSmooth(gradientX, gradientX, 3, 3);
cvSmooth(gradientY, gradientY, 3, 3);
cvReleaseImage ( &gaussianImage );
// Calculate SWT and return ray vectors
std::vector<Ray> rays;
IplImage * SWTImage =
cvCreateImage ( cvGetSize ( input ), IPL_DEPTH_32F, 1 );
for( int row = 0; row < input->height; row++ ){
float* ptr = (float*)(SWTImage->imageData + row * SWTImage->widthStep);
for ( int col = 0; col < input->width; col++ ){
*ptr++ = -1;
}
}
strokeWidthTransform ( edgeImage, gradientX, gradientY, dark_on_light, SWTImage, rays );
SWTMedianFilter ( SWTImage, rays );
IplImage * output2 =
cvCreateImage ( cvGetSize ( input ), IPL_DEPTH_32F, 1 );
normalizeImage (SWTImage, output2);
IplImage * saveSWT =
cvCreateImage ( cvGetSize ( input ), IPL_DEPTH_8U, 1 );
cvConvertScale(output2, saveSWT, 255, 0);
cvSaveImage ( "SWT.png", saveSWT);
cvReleaseImage ( &output2 );
cvReleaseImage( &saveSWT );
// Calculate legally connect components from SWT and gradient image.
// return type is a vector of vectors, where each outer vector is a component and
// the inner vector contains the (y,x) of each pixel in that component.
std::vector<std::vector<Point2d> > componentPoints;
cv::Mat SWTImageMat(SWTImage);
findLegallyCC(SWTImageMat, componentPoints);
// Filter the components
vector<Component> components = filterComponents(SWTImage, componentPoints);
computeAverageComponentColor(input, components);
IplImage * output3 =
cvCreateImage ( cvGetSize ( input ), 8U, 3 );
renderComponentsWithBoxes(SWTImage, components, output3);
cvSaveImage ( "components.png",output3);
// Cluster Chinese Word
clusterChineseWord(input, components);
IplImage * output4 =
cvCreateImage ( cvGetSize ( input ), 8U, 3 );
renderComponentsWithBoxes (SWTImage, components, output4);
cvSaveImage ( "words.png",output4);
cvReleaseImage ( &output4 );
// Make chains of components
std::vector<Chain> chains;
chains = makeChains(components);
IplImage * output5 =
cvCreateImage ( cvGetSize ( input ), IPL_DEPTH_8U, 1 );
renderChains ( SWTImage, components, chains, output5 );
//cvSaveImage ( "text.png", output4);
IplImage * output6 =
cvCreateImage ( cvGetSize ( input ), IPL_DEPTH_8U, 3 );
cvCvtColor (output5, output6, CV_GRAY2RGB);
//cvReleaseImage ( &output4 );
IplImage * output7 =
cvCreateImage ( cvGetSize ( input ), IPL_DEPTH_8U, 3 );
renderChainsWithBoxes ( SWTImage, components, chains, output7);
cvSaveImage ( "chainWithBox.png",output7);
cv::RotatedRect headLoc = findHeadlineLocation(SWTImage, components, chains);
cv::Mat output8(input);
drawRotatedRect(output8, headLoc, cv::Scalar(0,255,0), 4);
cv::cvtColor(output8, output8, CV_BGR2RGB);
cv::imwrite("headline.png", output8);
cvReleaseImage ( &gradientX );
cvReleaseImage ( &gradientY );
cvReleaseImage ( &SWTImage );
cvReleaseImage ( &edgeImage );
cvReleaseImage ( &grayImage );
cvReleaseImage ( &output5 );
cvReleaseImage ( &output6 );
cvReleaseImage ( &output7 );
return output6;
}
void strokeWidthTransform (IplImage * edgeImage,
IplImage * gradientX,
IplImage * gradientY,
bool dark_on_light,
IplImage * SWTImage,
std::vector<Ray> & rays) {
// First pass
float prec = .05;
for( int row = 0; row < edgeImage->height; row++ ){
const uchar* ptr = (const uchar*)(edgeImage->imageData + row * edgeImage->widthStep);
for ( int col = 0; col < edgeImage->width; col++ ){
if (*ptr > 0) {
Ray r;
Point2d p;
p.x = col;
p.y = row;
r.p = p;
std::vector<Point2d> points;
points.push_back(p);
float curX = (float)col + 0.5;
float curY = (float)row + 0.5;
int curPixX = col;
int curPixY = row;
float G_x = CV_IMAGE_ELEM ( gradientX, float, row, col);
float G_y = CV_IMAGE_ELEM ( gradientY, float, row, col);
// normalize gradient
float mag = sqrt( (G_x * G_x) + (G_y * G_y) );
if (dark_on_light){
G_x = -G_x/mag;
G_y = -G_y/mag;
} else {
G_x = G_x/mag;
G_y = G_y/mag;
}
while (true) {
curX += G_x*prec;
curY += G_y*prec;
if ((int)(floor(curX)) != curPixX || (int)(floor(curY)) != curPixY) {
curPixX = (int)(floor(curX));
curPixY = (int)(floor(curY));
// check if pixel is outside boundary of image
if (curPixX < 0 || (curPixX >= SWTImage->width) || curPixY < 0 || (curPixY >= SWTImage->height)) {
break;
}
Point2d pnew;
pnew.x = curPixX;
pnew.y = curPixY;
points.push_back(pnew);
if (CV_IMAGE_ELEM ( edgeImage, uchar, curPixY, curPixX) > 0) {
r.q = pnew;
// dot product
float G_xt = CV_IMAGE_ELEM(gradientX,float,curPixY,curPixX);
float G_yt = CV_IMAGE_ELEM(gradientY,float,curPixY,curPixX);
mag = sqrt( (G_xt * G_xt) + (G_yt * G_yt) );
if (dark_on_light){
G_xt = -G_xt/mag;
G_yt = -G_yt/mag;
} else {
G_xt = G_xt/mag;
G_yt = G_yt/mag;
}
// 如果p和q的夹角小于90度
if (acos(G_x * -G_xt + G_y * -G_yt) < PI/2.0 ) {
float length = sqrt( ((float)r.q.x - (float)r.p.x)*((float)r.q.x - (float)r.p.x) + ((float)r.q.y - (float)r.p.y)*((float)r.q.y - (float)r.p.y));
for (std::vector<Point2d>::iterator pit = points.begin(); pit != points.end(); pit++) {
if (CV_IMAGE_ELEM(SWTImage, float, pit->y, pit->x) < 0) {
CV_IMAGE_ELEM(SWTImage, float, pit->y, pit->x) = length;
} else {
CV_IMAGE_ELEM(SWTImage, float, pit->y, pit->x) = std::min(length, CV_IMAGE_ELEM(SWTImage, float, pit->y, pit->x));
}
}
r.points = points;
rays.push_back(r);
}
break;
}
}
}
}
ptr++;
}
}
}
void SWTMedianFilter (IplImage * SWTImage,
std::vector<Ray> & rays) {
for (std::vector<Ray>::iterator rit = rays.begin(); rit != rays.end(); rit++) {
for (std::vector<Point2d>::iterator pit = rit->points.begin(); pit != rit->points.end(); pit++) {
pit->SWT = CV_IMAGE_ELEM(SWTImage, float, pit->y, pit->x);
}
std::sort(rit->points.begin(), rit->points.end(), &Point2dSort);
float median = (rit->points[rit->points.size()/2]).SWT;
for (std::vector<Point2d>::iterator pit = rit->points.begin(); pit != rit->points.end(); pit++) {
CV_IMAGE_ELEM(SWTImage, float, pit->y, pit->x) = std::min(pit->SWT, median);
}
}
}
bool Point2dSort (const Point2d &lhs, const Point2d &rhs) {
return lhs.SWT < rhs.SWT;
}
void findLegallyCC(cv::Mat SWTImage,
std::vector<std::vector<Point2d> > &components)
{
cv::Mat labelMap(SWTImage.size(), CV_32FC1, cv::Scalar(0));
cv::Point eightNeibor[8] = {cv::Point(1, -1),
cv::Point(1, 0),
cv::Point(1, 1),
cv::Point(0, 1),
cv::Point(-1, 1),
cv::Point(-1, 0),
cv::Point(-1, -1),
cv::Point(0, -1)
};
queue<cv::Point> pointQueue;
int label=0;
for (int i = 0; i < SWTImage.rows; i++)
{
for (int j = 0; j < SWTImage.cols; j++)
{
if (SWTImage.at<float>(i, j) > 0 && labelMap.at<float>(i, j) == 0)
{
pointQueue.push(cv::Point(j, i));
label++;
labelMap.at<float>(i, j) = label;
components.push_back(vector<Point2d>());
while (pointQueue.empty() == false)
{
cv::Point curPoint = pointQueue.front();
float curPointSW = SWTImage.at<float>(curPoint.y, curPoint.x);
Point2d tmpPoint;
tmpPoint.x = curPoint.x;
tmpPoint.y = curPoint.y;
tmpPoint.SWT= curPointSW;
components[label-1].push_back(tmpPoint);
for (int k = 0; k < 8; k++)
{
cv::Point neibor = curPoint + eightNeibor[k];
if (neibor.x>=0 && neibor.x < SWTImage.cols
&& neibor.y>=0 && neibor.y<SWTImage.rows )
{
float neiborSWT = SWTImage.at<float>(neibor.y, neibor.x);
if (labelMap.at<float>(neibor.y, neibor.x)==0
&& neiborSWT > 0
&& (neiborSWT/curPointSW <3.0 && curPointSW/neiborSWT <3.0))
{
pointQueue.push(neibor);
labelMap.at<float>(neibor.y, neibor.x) = label;
}
}
}
pointQueue.pop();
}
}
}
}
int num_vertices=0;
for (auto vecIt = components.begin(); vecIt != components.end(); vecIt++)
{
num_vertices+=vecIt->size();
}
std::cout << "Our implementation Before filtering, " << components.size()<< " components and " << num_vertices << " vertices" << std::endl;
}
void componentStats(IplImage * SWTImage,
const std::vector<Point2d> & component,
float & mean, float & variance, float & median,
int & minx, int & miny, int & maxx, int & maxy)
{
std::vector<float> temp;
temp.reserve(component.size());
mean = 0;
variance = 0;
minx = 1000000;
miny = 1000000;
maxx = 0;
maxy = 0;
for (std::vector<Point2d>::const_iterator it = component.begin(); it != component.end(); it++) {
float t = CV_IMAGE_ELEM(SWTImage, float, it->y, it->x);
mean += t;
temp.push_back(t);
miny = std::min(miny,it->y);
minx = std::min(minx,it->x);
maxy = std::max(maxy,it->y);
maxx = std::max(maxx,it->x);
}
mean = mean / ((float)component.size());
for (std::vector<float>::const_iterator it = temp.begin(); it != temp.end(); it++) {
variance += (*it - mean) * (*it - mean);
}
variance = variance / ((float)component.size());
std::sort(temp.begin(),temp.end());
median = temp[temp.size()/2];
}
void filterComponents(IplImage * SWTImage,
std::vector<std::vector<Point2d> > & components,
std::vector<std::vector<Point2d> > & validComponents,
std::vector<Point2dFloat> & compCenters,
std::vector<float> & compMedians,
std::vector<Point2dFloat> & compDimensions,
std::vector<std::pair<Point2d,Point2d> > & compBB )
{
validComponents.reserve(components.size());
compCenters.reserve(components.size());
compMedians.reserve(components.size());
compDimensions.reserve(components.size());
// bounding boxes
compBB.reserve(components.size());
for (std::vector<std::vector<Point2d> >::iterator it = components.begin(); it != components.end();it++)
{
if (it->size() < 10)
{
continue;
}
// compute the stroke width mean, variance, median
float mean, variance, median;
int minx, miny, maxx, maxy;
componentStats(SWTImage, (*it), mean, variance, median, minx, miny, maxx, maxy);
// check if variance is less than half the mean
if (variance > 1 * mean) {
continue;
}
float length = (float)(maxx-minx+1);
float width = (float)(maxy-miny+1);
// check font height
if (width > 300 || width < 10) {
continue;
}
float area = length * width;
float rminx = (float)minx;
float rmaxx = (float)maxx;
float rminy = (float)miny;
float rmaxy = (float)maxy;
// compute the rotated bounding box
std::vector<cv::Point> points(it->size());
for (int i = 0; i < it->size(); i++)
{
points[i] = cv::Point((*it)[i].x, (*it)[i].y);
}
cv::RotatedRect bb = cv::minAreaRect(points);
width = bb.size.height;
length = bb.size.width;
// check if the aspect ratio is between 1/5 and 5
if (length/width < 1./5. || length/width > 5.) {
continue;
}
Point2dFloat center;
center.x = ((float)(maxx+minx))/2.0;
center.y = ((float)(maxy+miny))/2.0;
Point2dFloat dimensions;
dimensions.x = maxx - minx + 1;
dimensions.y = maxy - miny + 1;
Point2d bb1;
bb1.x = minx;
bb1.y = miny;
Point2d bb2;
bb2.x = maxx;
bb2.y = maxy;
std::pair<Point2d, Point2d> pair(bb1,bb2);
compBB.push_back(pair);
compDimensions.push_back(dimensions);
compMedians.push_back(median);
compCenters.push_back(center);
validComponents.push_back(*it);
}
std::vector<std::vector<Point2d > > tempComp;
std::vector<Point2dFloat > tempDim;
std::vector<float > tempMed;
std::vector<Point2dFloat > tempCenters;
std::vector<std::pair<Point2d,Point2d> > tempBB;
tempComp.reserve(validComponents.size());
tempCenters.reserve(validComponents.size());
tempDim.reserve(validComponents.size());
tempMed.reserve(validComponents.size());
tempBB.reserve(validComponents.size());
for (unsigned int i = 0; i < validComponents.size(); i++) {
int count = 0;
for (unsigned int j = 0; j < validComponents.size(); j++) {
if (i != j) {
if (compBB[i].first.x <= compCenters[j].x && compBB[i].second.x >= compCenters[j].x &&
compBB[i].first.y <= compCenters[j].y && compBB[i].second.y >= compCenters[j].y) {
count++;
}
}
}
if (count < 2) {
tempComp.push_back(validComponents[i]);
tempCenters.push_back(compCenters[i]);
tempMed.push_back(compMedians[i]);
tempDim.push_back(compDimensions[i]);
tempBB.push_back(compBB[i]);
}
}
validComponents = tempComp;
compDimensions = tempDim;
compMedians = tempMed;
compCenters = tempCenters;
compBB = tempBB;
compDimensions.reserve(tempComp.size());
compMedians.reserve(tempComp.size());
compCenters.reserve(tempComp.size());
validComponents.reserve(tempComp.size());
compBB.reserve(tempComp.size());
std::cout << "After filtering " << validComponents.size() << " components" << std::endl;
}
vector<Component> filterComponents(IplImage *SWTImage,
std::vector<std::vector<Point2d> > & componentsPoints)
{
std::vector<std::vector<Point2d>> validComPoints;
std::vector<std::pair<Point2d,Point2d> > compBB;
std::vector<Point2dFloat> compCenters;
std::vector<float> compMedians;
std::vector<Point2dFloat> compDimensions;
filterComponents(SWTImage, componentsPoints, validComPoints, compCenters, compMedians, compDimensions, compBB );
vector<Component> validComponents(validComPoints.size());
for (int i = 0; i < validComPoints.size(); i++)
{
Component com(validComPoints[i], validComponents.size(), compCenters[i], compMedians[i], compDimensions[i], compBB[i]);
validComponents[i] = com;
}
return validComponents;
}
bool sharesOneEnd( Chain c0, Chain c1) {
if (c0.p == c1.p || c0.p == c1.q || c0.q == c1.q || c0.q == c1.p) {
return true;
}
else {
return false;
}
}
bool chainSortDist (const Chain &lhs, const Chain &rhs) {
return lhs.dist < rhs.dist;
}
bool chainSortLength (const Chain &lhs, const Chain &rhs) {
return lhs.components.size() > rhs.components.size();
}
void computeAverageComponentColor(IplImage *colorImage,
vector<Component> &components)
{
for (std::vector<Component>::iterator it = components.begin(); it != components.end();it++) {
Point3dFloat mean;
mean.x = 0;
mean.y = 0;
mean.z = 0;
int num_points = 0;
for (std::vector<Point2d>::iterator pit = (it->componentPoints).begin(); pit != (it->componentPoints).end(); pit++) {
mean.x += (float) CV_IMAGE_ELEM (colorImage, unsigned char, pit->y, (pit->x)*3 );
mean.y += (float) CV_IMAGE_ELEM (colorImage, unsigned char, pit->y, (pit->x)*3+1 );
mean.z += (float) CV_IMAGE_ELEM (colorImage, unsigned char, pit->y, (pit->x)*3+2 );
num_points++;
}
mean.x = mean.x / ((float)num_points);
mean.y = mean.y / ((float)num_points);
mean.z = mean.z / ((float)num_points);
it->color = mean;
}
}
vector<Chain> computeSortedChainCandidate(vector<Component> &components)
{
vector<Chain> chains;
for ( unsigned int i = 0; i < components.size(); i++ ) {
for ( unsigned int j = i + 1; j < components.size(); j++ ) {
// 笔画宽度的中值之比小于2
if ( (components[i].medianSWT/components[j].medianSWT <= 2.0 &&
components[j].medianSWT/components[i].medianSWT <= 2.0))
{
float dist = (components[i].center.x - components[j].center.x) * (components[i].center.x - components[j].center.x) +
(components[i].center.y - components[j].center.y) * (components[i].center.y - components[j].center.y);
dist = sqrt(dist);
float colorDist = (components[i].color.x - components[j].color.x) * (components[i].color.x - components[j].color.x) +
(components[i].color.y - components[j].color.y) * (components[i].color.y - components[j].color.y) +
(components[i].color.z - components[j].color.z) * (components[i].color.z - components[j].color.z);
//float threshold = (std::min(components[i].demension.x,components[i].demension.y)+
// std::min(components[j].demension.x,components[j].demension.y))/2;
float threshold = (components[i].demension.x+components[i].demension.y+
components[j].demension.x+components[j].demension.y)/4;
if (dist < threshold && colorDist < 1600) {
Chain c;
c.p = i;
c.q = j;
std::vector<int> comps;
comps.push_back(c.p);
comps.push_back(c.q);
c.components = comps;
c.dist = dist;
float d_x = (components[i].center.x - components[j].center.x);
float d_y = (components[i].center.y - components[j].center.y);
/*
float d_x = (compBB[i].first.x - compBB[j].second.x);
float d_y = (compBB[i].second.y - compBB[j].second.y);
*/
float mag = sqrt(d_x*d_x + d_y*d_y);
d_x = d_x / mag;
d_y = d_y / mag;
Point2dFloat dir;
dir.x = d_x;
dir.y = d_y;
c.direction = dir;
chains.push_back(c);
}
}
}
}
std::stable_sort(chains.begin(), chains.end(), &chainSortDist);
return chains;
}
Component mergeTwoComponent(Component &a, Component &b)
{
a.componentPoints.insert(a.componentPoints.end(), b.componentPoints.begin(), b.componentPoints.end());
a.medianSWT = (a.medianSWT*a.componentPointsNum +b.medianSWT*b.componentPointsNum)/(a.componentPointsNum+b.componentPointsNum);
int minx = 1000000;
int miny = 1000000;
int maxx = 0;
int maxy = 0;
for (std::vector<Point2d>::const_iterator it = a.componentPoints.begin(); it != a.componentPoints.end(); it++) {
miny = std::min(miny,it->y);
minx = std::min(minx,it->x);
maxy = std::max(maxy,it->y);
maxx = std::max(maxx,it->x);
}
a.demension.x =(float)(maxx - minx + 1);
a.demension.y =(float)(maxy - miny + 1);
a.center.x = ((float)(maxx+minx))/2.0;
a.center.y = ((float)(maxy+miny))/2.0;
Point2dFloat dimensions;
dimensions.x = maxx - minx + 1;
dimensions.y = maxy - miny + 1;
Point2d bb1;
bb1.x = minx;
bb1.y = miny;
Point2d bb2;
bb2.x = maxx;
bb2.y = maxy;
a.compBB.first.x = minx;
a.compBB.first.y = miny;
a.compBB.second.x = maxx;
a.compBB.second.y = maxy;
a.color.x = (a.color.x*a.componentPointsNum +b.color.x*b.componentPointsNum)/(a.componentPointsNum+b.componentPointsNum);
a.color.y = (a.color.y*a.componentPointsNum +b.color.y*b.componentPointsNum)/(a.componentPointsNum+b.componentPointsNum);
a.color.z = (a.color.z*a.componentPointsNum +b.color.z*b.componentPointsNum)/(a.componentPointsNum+b.componentPointsNum);
a.componentPointsNum += b.componentPointsNum;
return a;
}
void clusterChineseWord( IplImage * colorImage, vector<Component> &components)
{
vector<Chain> candidateChains = computeSortedChainCandidate(components);
while (!candidateChains.empty())
{
Chain closestChain = candidateChains[0];
mergeTwoComponent(components[closestChain.p], components[closestChain.q]);
components.erase(components.begin()+closestChain.q);
candidateChains = computeSortedChainCandidate(components);
}
std::cout << components.size() << " Chinese word" << std::endl;
}
std::vector<Chain> makeChains(vector<Component> &components) {
vector<Chain> chains;
for ( unsigned int i = 0; i < components.size(); i++ ) {
for ( unsigned int j = i + 1; j < components.size(); j++ ) {
// 笔画宽度的中值之比小于2, 高度之比小于2
if ( (components[i].medianSWT/components[j].medianSWT <= 2.0 &&
components[j].medianSWT/components[i].medianSWT <= 2.0)
&& (components[i].demension.y/components[j].demension.y <= 2.0 &&
components[j].demension.y/components[i].demension.y <= 2.0))