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计算机工程 ›› 2007, Vol. 33 ›› Issue (05): 185-186. doi: 10.3969/j.issn.1000-3428.2007.05.066

• 人工智能及识别技术 • 上一篇    下一篇

自适应边缘检测方法的研究

顾茂松,杨小冈,缪 栋,刘云峰   

  1. (第二炮兵工程学院303教研室,西安 710025)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-03-05 发布日期:2007-03-05

Research on Approach of Adaptive Edge Detection

GU Maosong, YANG Xiaogang, MIAO Dong, LIU Yunfeng   

  1. (303 Teaching and Research Section, The Second Artillery Engineering College, Xi’an 710025)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-03-05 Published:2007-03-05

摘要: 图像的边缘是图像最基本也是最重要的特征之一。边缘检测一直是计算机视觉和图像处理领域的经典研究课题之一,在精确制导武器中有着广泛的运用。针对经典边缘检测方法在阈值选取中存在的问题,在分析几种二值化阈值选取方法的基础上,提出了自适应的边缘测检方法。基于C++Builder语言,研究了该方法的设计并得到了实现。通过实验验证,说明了该文方法的实用性和有效性。

关键词: 边缘检测, 二值化阈值, C++Builder, 自适应

Abstract: Edge is one of the most fundamental and significant features. Edge detection is always one of the most classical studying projects of computer vision and image processing field. It is widely applied to precise guide weapons. Aiming at the problem of the image-binary threshold selection in edge detection and based on the analysis of threshold selection methods, an adaptive edge detection approach is presented. The approach is implemented by C++ Builder programming language. Through experiment, the practicability and efficiency of the approach is demonstrated.

Key words: Edge detection, Image-binary threshold, C++ Builder, Adaption