• M.Wasim Raja

Image processing is widely accepted in the field of medical image processing for improvement in image for detection of disease in earlier stage. Image processing with respect to time factor provides appropriate detection of tumors in different cancer detection. In cancer detection process important factors considered are accuracy and quality of the image with minimal processing time. This requirement leads to the challenge of image processing technique with effective mechanism. In this research proposed a IBCR-SBI (Intensity based Cramer Rao - Straighten Boundary Condition) mechanism for improving processing time and accuracy for breast cancer. To improve the accurate detection of tumor extraction is adopted Cramer-Rao mechanism based on the intensity of the pixel. For the further efficiency improvisation of breast cancer detection straighten boundary (SBI) approach is adopted for cancer edge detection. In final stage for the extracted part through SBI and Cramer-rao approach histogram equalization is adopted. Simulation results reveals that proposed approach effectively segmented and extracted cancer in breast.

Cramer – Rao, Straighten Boundary Condition, Image extraction, Segmentation, IBCR-SBI

"A Novel Image Processing Algorithm Based On Pixel Approximation for Accurate Breast Cancer Identification and Segmentation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.696-708, January-2019, Available :http://www.jetir.org/papers/JETIR1901891.pdf

"A Novel Image Processing Algorithm Based On Pixel Approximation for Accurate Breast Cancer Identification and Segmentation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp696-708, January-2019, Available at : http://www.jetir.org/papers/JETIR1901891.pdf