شماره ركورد كنفرانس :
2727
عنوان مقاله :
Mammogram contrast enhancement in wavelet domain using fuzzy denoising
عنوان به زبان ديگر :
Mammogram contrast enhancement in wavelet domain using fuzzy denoising
پديدآورندگان :
Amirpour Hadi نويسنده K. N. Toosi University of Technology - Department of Electrical Engineering , Tarfiee Bita نويسنده K. N. Toosi University of Technology - Department of Biomedical Engineering , Shams Mohammad نويسنده Islamic Azad University South Tehran - Department of Biomedical Engineering
كليدواژه :
Mammograms , wavelet transform , Fuzzy Logic , Contrast enhancement
عنوان كنفرانس :
اولين كنفرانس بين المللي دستاوردهاي نوين پژوهشي در مهندسي برق و كامپيوتر
چكيده لاتين :
Abstract—Breast cancer is one of the main causes of death for women and nowadays too much attention is placed on it. Cancer that’s diagnosed at an early stage, before it’s had the chance to get too big or spread is more likely to be treated successfully. A mammography exam, called a mammogram, aids in the early detection and diagnosis of breast diseases in women. However, in many cases, cancer is not detected easily by radiologist’s eyes and
in order to improve image quality image-enhancement algorithms are proposed. In this paper, in order to enhance
contrast of a mammogram a fuzzy based wavelet transform is introduced. First, a multiscale wavelet transform is obtained in
four levels, and for denoising and improving quality of image fuzzy logic is applied to fourth level. Then, to enhance contrast of image wavelet coefficients in all scales are manipulated in a enhance factor. Simulation results show that proposed algorithm has better performance in various factors.
شماره مدرك كنفرانس :
4240260
