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Titolo: A pseudo top-hat mathematical morphological approach to edge detection in dark regions
Autore: Chen, T; Wu, QH; Rahmani-Torkaman, R; Hughes, J;
- Indirizzi:
- Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England Univ Liverpool Liverpool Merseyside England L69 3GJ , Merseyside, England BICC Gen UK Cables Ltd, Mfg Syst Engn Technol, Wrexham LL13 9PH, Wales BICC Gen UK Cables Ltd Wrexham Wales LL13 9PH l, Wrexham LL13 9PH, Wales
- Titolo Testata:
- PATTERN RECOGNITION
fascicolo: 1,
volume: 35,
anno: 2002,
pagine: 199 - 210
- SICI:
- 0031-3203(200201)35:1<199:APTMMA>2.0.ZU;2-9
- Fonte:
- ISI
- Lingua:
- ENG
- Keywords:
- edge detection; threshold; quad-tree decomposition; mathematical morphology; top-hat transformation;
- Tipo documento:
- Article
- Natura:
- Periodico
- Settore Disciplinare:
- Engineering, Computing & Technology
- Citazioni:
- 9
- Recensione:
- Indirizzi per estratti:
- Indirizzo: Wu, QH Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England Univ Liverpool Liverpool Merseyside England L69 3GJ yside, England
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- Citazione:
- T. Chen et al., "A pseudo top-hat mathematical morphological approach to edge detection in dark regions", PATT RECOG, 35(1), 2002, pp. 199-210
Abstract
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.
ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 19/05/13 alle ore 20:19:01