چکیده مقاله
A new method of image enhancement based on filter fusion using fuzzy reinforcement learning is proposed In a reinforcement learning system an environment give reward and punishment but in this research a Fuzzy inference engine is acquired to act as environment to give reward and punishment in a reinforcement learning system The processed results have done with Matlab software code and the data set of Herleve university hospital has been used In this code four filter median, local average, sharpening, and Wiener filters has been selected to apply on image the weighting system has been tuned with fuzzy inference engine The results show convincing improvement in cell image data set
کلیدواژهها
نویسندگان
Mona Benhari
Department of Computer Engineering, Islamic Azad University Shahreqods Branch, Tehran, Iran
Somayeh Amoutsar
Department of Mechatronic Engineering, Islamic Azad University South Tehran Branch, Tehran, Iran
Akram Reza
Department of Computer Engineering, Islamic Azad University Shahreqods Branch, Tehran, Iran
شیوه ارجاع
Benhari, Mona and Amoutsar, Somayeh and Reza, Akram,1398,Filter Fusion for Image Enhancement Using Fuzzy Reinforcement Learning,Sixth National Congress on Electrical Engineering and Computer Engineering of Iran with a New Approach to New Energy,Tehran
ارائهشده در
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