Target Detection Method Based Quadtree Structure Search and Hurst Ezponent

摘要：

After the features of Hurst exponent of the man-made target and natural background images are analyzed, a new algorithm is proposed that uses a quadtree structure search method and Hurst exponent computation. In order to extract the man-made objects from their background, the regions are firstly confirmed that probably including man-made objects by a quadtree structure search method. Then compute the Hurst exponent in the regions obtained above to confirm the region that includes the man-made object. Our method has been tested on images that consist of man-made objects and natural background and shows satisfactory performance.

作者: Lidi Wang Ping Chen Zhengming Li

作者单位: College of Information & Electrical Engineering, Shenyang Agricultural University, Shenyang 110016

会议类型: 国际会议

会议名称: 2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)

会议地点: 镇江

会议语种:英文

页码: 1721-1724

在线出版日期: 2008-07-07（万方平台首次上网日期，不代表论文的发表时间）