An Approach for Image Thresholding Using CNN Associated with Histogram Analysis

摘要：

Thresholding is one of the old, simple, and popular techniques for image segmentation, and has been widely studied. In this paper, an approach for image thresholding based on cellular neural network (CNN) associated with histogram analysis is presented. The approach realized by threshold CNN (T-CNN), in which the threshold is obtained via histogram-based automatic searching algorithm. Experimental results on real images show that the proposed approach can extract the objects from the background effectively with better visual quality than other methods.

关键词： Image thresholding cellular neural network histogram

作者: Jiayin Kang Wenjuan Zhang

作者单位: School of Electronics Engineering,Huaihai Institute of Technology,Lianyungang,JiangSu,222005,China School of Computer Engineering,Huaihai Institute of Technology,Lianyungang,JiangSu,222005,China

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 421-424

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）