2D测距图像的特征提取及类别划分研究.pdfVIP

第20卷第1期 系 统 仿 真 学 报@ 、7bl_20No．1 2008年1月 Journal of System Simulation Jan．，2008 2D测距图像的特征提取及类别划分研究 于金霞 ．一，蔡自兴 ，段琢华 ，。 (1．河南理工大学计算机科学与技术学院，河南 焦作 454003；2．中南大学信息科学与工程学院，湖南 长沙410083 3．韶关学院计算机科学系，广东 韶关 512003) 关键词：2D测距图像；特征提取；加权模糊聚类；有效性索引；遗传算法算法的性能比较，所提方法的有效性均得以验证． 中圈分类号j TP18 文献标识码：A 文章编号：1004．731X(2008)01．0076．05 l search on Feature Extraction and Classification Division of 2D Ranging Images YU Jin· ，I A，Zi·xing‘，D【 4^r Z D·hua (1．CoUege of Computer Science＆Technology,Henan Polytechnic University,Jiaozuo Henan 454003，China； 2．CoUege of Information Science＆ Engineering，Central South University,Changsha Hunan 410083，China； 3．Department ofComputer Science，Shaoguan University,Shaoguan Guangdong 512003，China) Abstract：Feature extraction and classification division of ranging images is a key problem in computer vision．Considering 2D ranging images as research object，a weighted fuzzy clustering algorithm(wFCA)Was proposed To determine the accurate clustering number automatically，many validation index functions were used to estimate the validity of different clustering algorithms SO as to select the most appropriate one for ranging im ages．At the same time，an improved genetic algorithm IVGA was proposed to solve the local optimum of clustering algorithm．By the comparison with other algorithms， the effectiveness ofthe algorithms is demonstrated． Key words：2D ranging images；feature extraction；weighted fuzzy clustering；validation index；genetic algorithm 类类数，需要选择合适测距图像的聚类有效性索引函数如 引 言