Update README.md

Author: abhidtu2014

README.md

@@ -16,3 +16,35 @@ contains image.
 - Download any package which is not already present
 in anaconda environment.
 - Rest is simple, code is self explanatory.
+
+# Expalanation:
+
+> In this project, an improved image splicing detection is purposed which is
+> based on global and local features of an image. 
+
+- Let's get some local features using SIFT which is a local feature extraction method:
+
+# SIFT
+> A robust interest detector SIFT is
+> applied which is tweaked with center of mass algorithm which localizes the spliced
+> object and only nearest points are used concentrically with respect to coordinates of
+> center of mass of given image.
+
+-  Let's get some global features of an image:
+
+# Zernike moments
+> zernike will give measure about how the mass is distributed all over image.
+
+# Local binary pattern 
+> Local binary pattern will give measure of how many pixels represent a particular code.
+
+# Haralick Features
+> Haralick Features which is a combination of feature vector which provides 13 useful
+statistical features.
+
+# Methodology: 
+- Effective morphology based image filtering techniques are used to reduce the noise and get prominent edge map. 
+- Final feature vector by applying PCA which reduces dimention to a fixed component and final feature vector is 
+feeded to SVM classifier for training model.
+- N-fold cross validation is used to get minimally overfitted and
+accurate model.