• K.Nagaiah
• Dr. K. Manjunathachari
• Dr.T.V.Rajinikanth

Edge detection plays a vital in image processing. For Mammogram image analysis main functional blocks used to detect the cancer or non-cancerous images based on the preprocessing, segmentation, feature extraction and classification methods. To get accurate result one should get exact segmented image for that these edge detection methods will support. In this paper we have studied and analyzed canny, prewitt, log sobel and Robert edge detection methods. With active contour segmentation using five edge detecting technique and without segmentation the same five edge detection methods. Out of which canny detector giving best result for all mammogram images as well as normal other gray and color images. We have used for this analysis MIAS database 322 image used to analyze this process using MATLAB 2018a Software.

Canny, Edge Detection, LoG, Prewitt, Robert, Sobel

"EDGE DETECTION TECHNIQUES FOR MAMMOGRAM IMAGES ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.458-464, July-2018, Available :http://www.jetir.org/papers/JETIR1807419.pdf

"EDGE DETECTION TECHNIQUES FOR MAMMOGRAM IMAGES ANALYSIS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp458-464, July-2018, Available at : http://www.jetir.org/papers/JETIR1807419.pdf