A Research on Stereo Matching Algorithm for Underwater Image

摘要：

To realize the accuracy and stability of the underwater binocular image matching, this paper design a stereo matching algorithm based on Harris corner detection. Firstly, apply median and homomorphic filtering for underwater stereo image preprocessing to minimize noise and enhance image contrast. Secondly, apply the corner feature extraction and matching method based on Harris for obtaining the characteristic information of underwater target. And then apply the constraint condition to eliminate the error matched points, so as to improve the underwater image matching stability. Finally, the experiments verify the algorithm proposed in this paper, and the experimental results have shown the effectiveness of this algorithm.

关键词： underwater image stereo matching corner detection feature extraction

作者: Huibin Wang Hongye Sun Jie Shen Zhe Chen

作者单位: College of Computer and Information Hohai University Nanjing, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 865-869

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）