SQUARE DETECTION BASED ON DISTANCE DISTRIBUTION

摘要：

　　This paper presents a method for the square detection based on distance distribution of the edge points of the image.The orientation line of the edge point is defined fu-st,then for each pixel of the image,the distances between the pixel and the orientation lines of the edge points in the defined neighborhood of the pixel are computed to obtain the feature length and feature energy of the pixel,and further attain the feature length distribution map and feature energy distribution map of the whole image.Local maxima detection in the feature energy map is subsequently performed to find the potential center of the squares,and the corresponding feature length of the found potential center is also obtained.Additive steps are performed to verify and determine the centers of the squares.Synthetic images and natural images are used to prove the capability of the presented method for square detection.The experiments exhibit good performance for detecting the single square or the nested ones.

关键词： Square detection Feature energy Orientation line Distance distribution

作者: HONG-MIN LIU ZHI-HENG WANG CHAO DENG LI-QIN JIA

作者单位: School of Computer Science and Technique, Henan Polytechnic University, Jiaozuo 454000, China

会议类型: 国际会议

会议名称: 2011 International Conference on Wavelet Analysis and Pattern Recognition(2011小波分析与模式识别国际会议)

会议地点: 桂林

会议语种:英文

页码: 35-39

在线出版日期: 2011-07-10（万方平台首次上网日期，不代表论文的发表时间）