چکیده مقاله
In this paper we propose a new approach based on computing weights of kernel in spatial filtering domain In order to do this, genetic algorithm is used to find best weights of kernel and also discrete wavelet transform as fitness function in genetic algorithm Finally, we convolve a noisy image with proposed kernel to enhance quality image We evaluate the performance of the proposed method using three standard test images and use fitness function value to measure accuracy; the result shows the efficiency of the proposed method
کلیدواژهها
نویسندگان
A Zohrevand
Kosar University of Bojnord, Bojnord, Iran,
شیوه ارجاع
Zohrevand, A,1396,Computing kernel in spatial filtering domain, using genetic algorithm and discrete wavelet transform,The 3rd National Conference of New achievements in Electrical, Computer and Industrial Engineering
ارائهشده در
مجموعه مقالات سومین کنفرانس ملی دستاوردهای نوین در برق وکامپیوتر و صنایع19 مهر 1396