Target Detection Method Based on Wavelet Transform and Improved Watershed Algorithm

摘要：

A novel method of target detection based on the multi-resolution of wavelet transform and improved watershed algorithm is put forward in the paper. The wavelet transform is capable of compressing the image and detecting its mutation. The improved watershed algorithm can greatly separate the target from complicated background. Experiments indicate the superiority combination of two algorithms can alleviate the noise problem, moreover, comparing with the original image processing, the computation cost and algorithm complexity efficiently reduce, and the detect speed greatly improve. The method can satisfy the requests of the dynamic target detection and tracking in the shooting range.

关键词： target detection wavelet transform improved watershed algorithm multi-resolution image

作者: GU Lingjia GUO Shuxu REN Ruizhi YANG Yue

作者单位: College of electronic science & engineering of JiLin University, China

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）