進化型ハードウェアのアーキテクチャに関する研究

東京電機大学201

Evaluation of a New Platform For Image Filter Evolution

This paper describes a new FPGA implementation of a system for evolutionary image filter design. Three parallel search algorithms are compared. An optimal mutation rate and the quality of three pseudo-random number generators are investigated. The efficiency of proposed system is demonstrated on the problem of removing the salt-andpepper noise with intensity of 5%, 10 % and 20 % and designing an edge detector which works with input images corrupted by the salt-and-pepper noise.