A proposed system for edge mammogram image

Authors:
Yessi Jusman;Nor Ashidi Mat Isa;Rahmadi Kurnia
Affiliations:
Imaging and Intelligent System Research Team, School of Electrical & Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia;Imaging and Intelligent System Research Team, School of Electrical & Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia;School of Electrical and Electronic Engineering, Andalas University, Padang, Sumatera Barat, Indonesia
Venue:
AEE'10 Proceedings of the 9th WSEAS international conference on Applications of electrical engineering
Year:
2010

Citing 2
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Improvement of sensitivity of breast cancer diagnosis with adaptive neighborhood contrast enhancement of mammograms

IEEE Transactions on Information Technology in Biomedicine
Coherence of multiscale features for enhancement of digital mammograms

IEEE Transactions on Information Technology in Biomedicine

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Abstract

In breast cancer diagnosis, the radiologists mainly use their eyes to observe abnormalities occur on the mammograms. However, in many cases, cancer is not easily detected by the eyes because of bad imaging conditions. In order to improve the correct diagnosis rate of cancer, image enhancement technology is often used to enhance the image quality and assist the radiologists. In this paper, we build a new image enhancement system in mammograms for radiologists to screen mammogram easily and correctly. First, the proposed system modifies the brightness and contrast to enhance images for better visual quality. Second, the image enhancement is convoluted with mask of edge detectors and thus it can increase value of edge pixel in image building edge image for continued process. Third, the best edge image among several edge images produced by the used edge detectors in this system is automatically visualized based on single parameter.