Kernel Principal Component Analysis Feature Detection for Underwater Images

摘要：

Introduction Sonar systems are used in a variety of military and civil applications. The image feature extraction and detection process is a very difficult one due to the presence of distortion of images like blurring, illumination change and image rotation at various angle. Lowe (2004) presented SIFT for extracting distinctive invariant features from images that can be invariant to image scale and rotation. Then it

关键词： SIFT PCA PCA-SIFT KPCA KPCA-SIFT

作者: Dr.G.Padmavathi Mr.M.Muthukumar Cmdd. Suresh Kumar Thakur

作者单位: Professor and Head Department of Computer Science,Avinashilingam University for women,Coimbatore,Tam Research Staff,Department of Computer Science Avinashilingam University for women,Coimbatore,Tamilna Deputy Director NRB,DRDO,New Delhi,India

会议类型: 国际会议

会议名称: 2010 International Conference on Material and Manufacturing Technology(2010材料与制造技术国际会议 ICMMT2010)

会议地点: 重庆

会议语种:英文

页码: 953-958

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）