Edges and Boundary detection of Mammography images in earlier stages through Non-Convex border optimization of segmentation thresholding Algorithm
N. Nalini, P. Jagadeesh, P. Shyamala Bharathi, V. Amudha, G. Ramkumar, T. J. Nagalakshmi · 2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) · 2022
Despite the most significant cancer that occurs worldwide is breast cancer for women. All almost all parts of the country, breast cancer detection increase every year, and the death rate of breast cancer is nearly (20–27) % in India. The input mammography image i.e left side and right side of the breast segment and optimize concerning pixel shape and intensity. Furthermore, the proposed method of segmentation thresholding algorithm optimizes and classifies the mammographic image through two methods. The first method of optimization of segmentation image through the convex border of mammographic images and detect the edges and boundary. The second method of optimization image through the non-convex border and detect edges and boundaries. Finally, the result is processed through a segmentation thresholding algorithm to delineate the edges and boundaries in the mammographic images and helps the radiologist to detect earlier stages of breast cancer. The net result outer performs the existing algorithm and proposed in the state of art to detect breast cancer in earlier stage and help the Radiologist for accuracy in cancer detection. The achieved result of the segmentation thresholding algorithm through the convex and non-convex border of image optimization is about 93% of the accuracy.