霍夫变换
水准点(测量)
人工智能
计算机科学
目标检测
粒子群优化
计算机视觉
边缘检测
启发式
图像(数学)
计算
数字图像
模式识别(心理学)
图像处理
算法
地理
大地测量学
作者
A. Enis Çetin,Somaiyeh Rezai,Taymaz Akan
出处
期刊:Studies in computational intelligence
日期:2022-12-05
卷期号:: 193-209
被引量:2
标识
DOI:10.1007/978-3-031-16832-1_11
摘要
Object and shape detection in digital image were one of the hot topic over the last two decades. Especially automatic multi circle detection has received more attention over last years. Hough transform (HT) is a well-known and most popular method for lines and circles detection. However, HT has huge computational complexity expense. This paper proposed a new successful heuristic method to reduce computation time and improve the speed of HT for circle detection. In this proposed method the edges information of the image is obtained by means of Robert edge detection. Then, multimodal particle swarm optimization (PSO) and local search is employed to locate all exciting circle in the image. The experiments on benchmark images show that our scheme can perform multi circle detection successfully.
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