Image Fusion of X-ray Mammography Using Weighted Averaging GA-Based SWT Technique

Nowadays, image fusion of medical images plays a crucial role and enables the radiologists to diagnosis the diseases. X-ray mammogram has become a universal practice for the identification of cancer cells in the breast. Sometimes, a single X-ray mammography is not alone sufficient to express full details about breast cancer to the radiologist. To overcome this problem, equalization of the histogram is chosen to improve the superiority of the X-ray mammography and then image fusion using weighted averaging genetic algorithm-based stationary wavelet transform is planned to enhance the quality of the fused image. An experimental result shows this proposed technique of medical image fusion which gives improved results w.r.t. existing methods.