Detection of Masses In Digital Mammogram Using Gabor Based Edge Detection Method
We develop an new methodology for detection of masses in digital mammographic images using gabor filter and
edge detection methodology which relies on filtering technique which is used to segment masses in mammographic images.
Here we compare our methodology with state-of –art criteria like segmentation of masses based on k-means clustering
technique and we prove that our methodology will give better results in terms of accuracy using statistical values.