Update README.md

Author: Ayush9719

README.md

@@ -1,2 +1,16 @@
 # Analysis-of-Image-Segmentation-Methods
-This study consists of a comparative analysis of various image segmentation methods on cytological images
+### This study consists of a comparative analysis of various image segmentation methods on cytological images
+
+In this study, we implemented various segmentation techniques on cytological images. The segmentation methods are listed below:
+1. Thresholding
+2. Adaptive Thresholding
+3. Otsu Binarization
+4. Edge Detection Techniques - Sobel, Prewitt, etc.
+5. KMeans clustering based Segmentation
+6. Watershed Algorithm
+
+We tried various combinations and achieved best results using thresholding + watershed algorithm.
+
+Then we implemented the whole script using threading techniques in python to imporve the efficiency and included task parallelism.
+
+The cytological dataset is provided by murphy labs and is available on their official [website](http://murphylab.web.cmu.edu/data/).