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�������պ����ѧѧ�� 2009, Vol. 35 Issue (2) :197-200    DOI:
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Fuzzy recognition and object-capture algorithm for robot vision systems
Huang Rongying*
School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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Abstract�� With reference to the object recognition process of human eyes and minds, the region segmentation and fuzzy recognition algorithms were established for robot vision systems in order to deal with the problem of the object-capture recognition. The gray-scale and chromaticity of images were taken as a basis for region segmentation and fuzzy recognition,the index of the characteristics were taken from gray-scale,chromaticity and body features,and the definition method for feature recognition on the basis of walsh transform meta-models was put forward with the sharp low-frequency gathering tendency of the gray-scale. Then,the recognition algorithms was worked out utilizing the fuzzy relation composition and maximum subjection according to the object recognition matrix and relation matrix was established.With the algorithms, the objects within small samplings spots can be recognized, which has practical values in the object-recognition in the capture control of robots.
Keywords�� vision   image analysis   object recognition   walsh transform   inner product     
Received 2008-07-20;
About author: ������(1955-),Ů,����ʹ���,������, buaahry@sina.com.cn.
������.�������Ӿ�ϵͳģ��ʶ��ץȡ���㷨[J]  �������պ����ѧѧ��, 2009,V35(2): 197-200
Huang Rongying.Fuzzy recognition and object-capture algorithm for robot vision systems[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2009,V35(2): 197-200
http://bhxb.buaa.edu.cn//CN/     ��     http://bhxb.buaa.edu.cn//CN/Y2009/V35/I2/197
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