Hand Target Extraction from Infrared Images with Descriptor based on Pixel Temporal Characteristics
作者单位：School of Automation and Electrical Engineering University of Science and Technology Beijing
会议名称：《国防光电子论坛第二届新型探测技术及其应用研讨会》
会议日期：2015年
学科分类：080901[工学-物理电子学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 0803[工学-光学工程]
关 键 词：target extraction sequence infrared images pixel temporal characteristics edge-shape descriptor
摘 要：Infrared trace image can record the trace left on the surface of objects after our body makes contacts with them and it is a special kind of blurred image with a transition zone. The traditional target extraction methods did not work well on trace image. This paper presents a target extraction method using an edge-shape descriptor based on pixel temporal characteristics to extract the original contour from sequence infrared images. Firstly, divide all the pixels of the image into three sets;then, use gray level values of a certain pixel in temporal sequence to describe the variation trend of the pixel and the Pearson correlation coefficient of two trends is used to represent the image feature of the point. Secondly, an edge-shape descriptor is used on the result of preliminary segmentation to judge which class a pixel belongs to. Finally, in further processing stage, use morphological operation to smooth the edge and remove isolated points. The experimental results show that the proposed method in this paper exhibits better extraction performance.