摘要：机器视觉是研究如何使计算机对图像数据产生智能化感知的一门科学。机器视觉的重要核心是对物体的识别，物体识别是机器视觉领域的一项基础研究，物体识别技术推动着工业、医学、交通、国防等邻域朝着自动化、智能化方向快速前进，并有可能从根本上改变它们的发展模式。
有效的物体识别是基于计算机处理能力的基础上，对获取到的图像进行分析处理，进行包括图象灰度化和滤波处理等技术操作，将提取到的障碍物体的特征进行分割处理和细化处理，这样就可以进行物体识别，构建出环境地图而达到识别障碍物体的效果。在本论文中，详细介绍了物体识别所需要的众多技术和算法。在Windows平台上，运用Visual Studio 2010进行操作，并实现了对物体进行识别的几个模块的功能，具有一定的代表性。
本课题就是研究机器视觉的物体识别技术，在此基础上，建立机器人运行场地的环境模型，为其自主导航提供技术准备。
关键词：机器视觉，物体识别，图像处理
Abstract：Machine vision is studying how to make computer generated image data intelligent perception of a science. Machine vision to the important core is the object identification.Object recognition is a basis research in the field of machine vision. Object recognition technology push industry, medicine, transportation, national defense neighborhood toward automation, intelligent direction fast forward, and is likely to fundamentally change their model of development.
Effective object recognition is based on the basis of computer processing ability to get to the image analysis processing, include the image intensity of operations and filtering techniques, obstacles to extract the characteristics of the object segmentation and thinning, this allows for object recognition, construct environment map and achieve the effect of identifying obstacles. In this thesis, introduces in detail the object recognition need many techniques and algorithms. In Windows platforms, using Visual Studio 2010 operation, and realize the object identification of some modules in the functions, has certain representativeness.
This topic is the study of the machine vision object recognition technology, establish the environment model robot operating venue for its autonomous navigation, provide technical preparation based on this.
Key words: machine vision, object recognition, image processing
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