Contrast enhancement in mammograms using homomorphic filter technique

Cancer detection at primary stage is the only solution, to reduce the death rate among the womens, due to breast cancer. Hence, screening of mammograms for detection of masses is essential, which is crucial task for the radiologist, due to variation in contrast and homogeneous structure of the masses and surrounding breast tissue. Therefore, denosing and enhancement of the mammograms using wavelet shrinkage and homomorphic filtering is presented in this paper. The approach contains, artifact suppression using threshold technique in pre-processing. Then wavelet transform is applied on the pre-processed mammogram, the wavelet shrinkage operator is applied on the detail coefficients for denosing and homomorphic filtering is applied on approximate coefficients for enhancement of mammograms. Finally, an inverse wavelet transform is taken to obtain the denoised and enhanced mammograms. The obtain results of the presented method gives better visibility for suspicious masses.