A Bran Specks Detection Method Based on PCNN

摘要：

　　In order to achieve vision detection for tiny bran specks in flour,this paper proposes a new detection method based on pulse coupled neural network(PCNN).First,the flour image is mapped into gray entropy image using local gray entropy transformation,so the location of bran specks in flour can be enhanced in image.Then,the PCNN is utilized for the gray entropy image,and final target segmentation can be completed after iterative processing,while the optimal iteration number is determined according to the minimum cross entropy.The compared experimental results not only demonstrate the effectiveness but also show that the proposed method has a higher detection sensitivity.

关键词： Vision detection Bran specks Gray entropy transformation PCNN

作者: Tianfei Chen Xiang Wu Xiujuan Li

作者单位: School of Electrical Engineering,Henan University of Technology,No 100 LianHua Road,Zhengzhou City,China

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 449-457

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）