Edge Detection and Image Segmentation Based on Cellular Neural Network

摘要：

On the basis of brief description of cellular neural network, the process of edge detection based on CNN is introduced with the flow chart of whole algorithm designed, and several kernel techniques are explained respectively in details. As far as binary and gray images, the two simulation models for image edge detection based on CNN and traditional arithemetic operators (prewitt, sobel, canny) respectively are designed and compared their performance. Experimental results demonstrate that the CNN algorithm has several advantages, such as high speed parallel calculation on hardware, calculation speed independent of image size, real-time performance and so on. Therefore, CNN is an effective method for edge detection and image segmentation.

关键词： Cellular Neural Network Edge Detection Image Segmentation

作者: Min Tang

作者单位: College of Electrical Engineering Nantong University Nantong,P.R.China

会议类型: 国际会议

会议名称: The 3rd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2009)(第三届生物信息与生物医学工程国际会议)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2009-06-11（万方平台首次上网日期，不代表论文的发表时间）