سال انتشار: ۱۳۹۰
محل انتشار: نوزدهمین کنفرانس مهندسی برق ایران
تعداد صفحات: ۴
SayedMasoud Hashemi Amroabadi – Electrical and Computer Eng. Dept. University of Toronto, Toronto, Canada
Mohammad Reza Ahmadzadeh – Electrical and Computer Eng. Dept., Isfahan University of Tech., Isfahan, Iran
Ali Hekmatnia – Medical Image and Signal Processing center, Isfahan University of Medical Science, Isfahan
Many existing researches utilized different types of feature extraction techniques to detect masses in ROI images. Based on our observations, inclusion of additional features beyond a certain point worsens the performance rather than enhancing it. This paper describes a hybrid method of mammogram recognition which is based on principle component analysis, Haralick features and Genetic algorithm to select the best features.