An Algorithm of Eztracting Infrared Image Edge Based on Lateral Inhibition Network and Wavelet Phase Filtration

摘要：

Infrared image edge is very important in military object detection treatment. Based on the traditional edge detection algorithm the present paper adopts wavelet phase conversion filtration on wavelet transformation and lateral inhibition network to detect infrared image in accordance with infrared image features. The simulation test has proved that it can effectively solve the contradition between precision and strong noise-eliminating ability in the tradtional edge detection and better extract the infrared object image edge.

关键词： Lateral Inhibition Wavelet Transformation Mazimum Edge Eztraction Wavelet Phase Transformation.

作者: Kanglin Gao Mei Dong Desheng Li Wei Cheng

作者单位: School of Computer& Information Engineering Shandong University of Finance,250014,Jinan,Shandong Pro School of Information Science and Engineering,Jinan University,250001,Jinan,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 3531-3535

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）