Low Cost Mammography Image Enhancement and Analysis Mechanisms

In this paper we have focused a on reasonable mammography analysis to cater people at large based on wavelet image processing, Neural Network and Edge detection methods with a minimum computing requirements. The paper analyses the mammogram images and delivers a report on the image details for an early detection of the cancerous development in human. The idea is to provide lower cost of the patient treatment with simple algorithms. In the existing scenario, there is a consistent increase in the cost of treatment to the patients owing to the requirement of the complicated computing hardware and Computer Aided Design Tools. The methods presented in this paper are simple and with achievable results and claims to be faster for early detection of breast cancer. Hence, the proposed algorithms have low cost approach and would benefit to the human society. In this paper we have focused on three vital methods of detection and extraction from mammographic images and the output images are given for further analysis for detection and possible diagnosis.