%0 Journal Article %T Research on Target Contour Feature Extraction Based on Image Potential Energy Theory
基于图像势能理论的目标轮廓特征提取方法 %A CHEN Xue-song %A XU Xue-jun %A ZHU Hong-bo %A
陈雪松 %A 徐学军 %A 朱洪波 %J 计算机科学 %D 2011 %I %X A good feature extraction method helps to improve the efficiency of pattern recognition system and classificalion system. Computing of potential energy of an image can be used to extract and save image features, which is a new theory to collect and store the potential energy of each pixel in order. In this way, the feature of the image is better retamed contributing to storage and classification. Contour is the main distinction between different objects. With potential energy theory, the potential energy computed can better show the image feature with the high advantage of speed, easy computing and less storage space. hhe theory can be applied to target recognition and target classification and so on. %K Image processing %K Contour %K Potential energy %K Feature extraction %K harget recognition
图像处理,轮廓,势能,特征提取,目标识别 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=B64E2EF1739A75D59B7895641E334068&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=B31275AF3241DB2D&sid=B7BFA4B351E4C682&eid=6826CBE9C80ACB20&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=11