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基于模糊阈值的机器人视觉目标图像处理
引用本文:刘海波,王福忠,刘璐. 基于模糊阈值的机器人视觉目标图像处理[J]. 现代计算机, 2008, 0(2): 33-35
作者姓名:刘海波  王福忠  刘璐
作者单位:河南理工大学,焦作454000
摘    要:机器人视觉目标图像信噪比低,背景噪声干扰大,目标识别处理通常利用目标的灰度信息进行预处理,由此设计一种基于数学形态学和模糊阈值的灰度图像实时预处理和阈值处理技术图像分割方法.仿真实验表明,该方法实时性好,简捷快速,对目标图像识别有实用价值.

关 键 词:机器人视觉  图像分割  模糊
收稿时间:2007-10-23
修稿时间:2008-01-09

Disposal of Robot Vision Target Image Based Fuzzy Thresholding
LIU Hai-bo,WANG Fu-zhong,LIU Lu. Disposal of Robot Vision Target Image Based Fuzzy Thresholding[J]. Modem Computer, 2008, 0(2): 33-35
Authors:LIU Hai-bo  WANG Fu-zhong  LIU Lu
Affiliation:LIU Hai-bo,WANG Fu-zhong,LIU Lu (Henan Polytechnic University,Jiaozuo 454000)
Abstract:The robot vision target image has low SNR(Signal-to Noise) and high background noise disturbance,therefore the target recognition disposal must make use of the target's grey information, according to this, designs the method of grey chroma on real-time and threshold value disposal image segmentation based on mathematical morphologic and fuzzy thresholding. The emulate experiment shows that this method is brief and fast. It has good real time response and practical value to recognize the image of object.
Keywords:Robot Vision   Image Segmentation   Fuzzy Logic
本文献已被 CNKI 维普 万方数据 等数据库收录!
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