Image Fusion of mammogaphy images using Meta Heuristic Method Particle Swarm Optimization (PSO)

摘要

Mammography is a procedure of getting the breast X-ray images inorder to discover the different cancer tissues. The exact of recognition can be improved by using Image fusion techniques. In the last decades several methods have been applied for image fusion. To enhance the diagnostic performance, the meta heuristic methods are proposed in the present work. PSO is one of the familiar methods used as an optimization advanced technique. In the PSO is used to control the added weights and the fused is image is an optimized fused image. The current method is recognized using the image quality which will be measured. The proposed methods are evaluated using mammography different images. It was identified that the image quality measures and shown a good quality in analysis when compared with conventional DWT and existing Genetic Algorithms.