CAJ | 학술논문

针对Pal和King提出的模糊边缘检测算法易导致图像灰度信息丢失的问题,提出一种改进的图像模糊边缘检测算法。算法先使用遗传算法和Otsu得到最佳阈值参数,通过阈值定义一个新的隶属函数将原始图像映射到模糊特征平面;然后利用模糊增强提高区域之间的层次,加强边缘两侧的对比度;再对图像进行灰度增强;最后用Min算子提取出图像的边缘。实验结果表明,改进算法提高了边缘检测质量。
침대Pal화King제출적모호변연검측산법역도치도상회도신식주실적문제,제출일충개진적도상모호변연검측산법。산법선사용유전산법화Otsu득도최가역치삼수,통과역치정의일개신적대속함수장원시도상영사도모호특정평면;연후이용모호증강제고구역지간적층차,가강변연량측적대비도;재대도상진행회도증강;최후용Min산자제취출도상적변연。실험결과표명,개진산법제고료변연검측질량。
To overcome the drawback of losing of gray information after fuzzy image enhancement in Pal and King algorithm, a modified fuzzy edge detection algorithm is presented in this paper. Firstly, a scheme for threshold using genetic algorithm and Otsu is presented. Secondly, according to the threshold, a new membership function is defined automatically in order to change the original image into the fuzzy property plane. Thirdly, the level of different regions is improved after performing fuzzy enhancement, so that the contrast between both sides of the edge is enhanced. Then, the getting image is enhanced by gray transformation. Finally, the edges of the image are extracted according to Min operator. Experimental results show that the quality of edge detection is improved with the proposed algorithm.