A pseudo top-hat mathematical morphological approach to edge detection in dark regions

被引:97
作者
Chen, T
Wu, QH [1 ]
Rahmani-Torkaman, R
Hughes, J
机构
[1] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England
[2] BICC Gen UK Cables Ltd, Mfg Syst Engn Technol, Wrexham LL13 9PH, Wales
关键词
edge detection; threshold; quad-tree decomposition; mathematical morphology; top-hat transformation;
D O I
10.1016/S0031-3203(01)00024-3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];
摘要
Edge detection is an important pre-processing step in image segmentation. Conventionally, edges are detected according to gradient property, then processed by the thresholding technique. By such an approach, fine edge details in dark region of the image are eliminated. It is annoying sometimes as they are as useful as those in bright region, although this is caused by unevenly distributed lighting in many machine vision applications. In this paper. a novel mathematical morphological edge detection algorithm. based on pseudo top-hat transformation which is derived from top-hat transformation, is proposed to preserve these edge details as well as prominent ones. The algorithm is also presented in detail. Comprehensive experimental results show that the proposed algorithm is efficient for edge details extraction in place of shading while preserving distinguish features. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:199 / 210
页数:12
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