Edge gradient method on object color

W H Tsang; P W M Tsang

doi:10.1109/TENCON.1996.608828

Edge gradient method on object color

W H Tsang
, P W M Tsang

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

The effectiveness and correctness of edge detection is important in a lot of computer vision algorithms such as object shape recognition and scene analysis. However, it was found that edges extracted from the discontinuities of gray images alone are often incomplete in describing the essential details, and the missing information may be partially recovered by the edges in the chrominance components. In this paper, a novel color edge detector is presented. The method provides a more comprehensive description on the edges of an image by detecting the discontinuities in the gradient of the HSV color space, and is capable of reducing false edge detection in specular reflection regions. The performance of the proposed scheme, and its comparison with other existing techniques are demonstrated. © 1996 IEEE

Original language	English
Title of host publication	Proceedings of Digital Processing Applications (TENCON '96)
Publisher	IEEE
Pages	304-310
Volume	1
ISBN (Print)	0-7803-3679-8
DOIs	https://doi.org/10.1109/TENCON.1996.608828
Publication status	Published - Nov 1996
Event	1996 IEEE Region 10 Conference on Digital Signal Processing Applications (TENCON 96) - University of Western Australia, Perth, Australia Duration: 26 Nov 1996 → 29 Nov 1996

Conference

Conference	1996 IEEE Region 10 Conference on Digital Signal Processing Applications (TENCON 96)
Place	Australia
City	Perth
Period	26/11/96 → 29/11/96

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title = "Edge gradient method on object color",

abstract = "The effectiveness and correctness of edge detection is important in a lot of computer vision algorithms such as object shape recognition and scene analysis. However, it was found that edges extracted from the discontinuities of gray images alone are often incomplete in describing the essential details, and the missing information may be partially recovered by the edges in the chrominance components. In this paper, a novel color edge detector is presented. The method provides a more comprehensive description on the edges of an image by detecting the discontinuities in the gradient of the HSV color space, and is capable of reducing false edge detection in specular reflection regions. The performance of the proposed scheme, and its comparison with other existing techniques are demonstrated. {\textcopyright} 1996 IEEE",

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pages = "304--310",

booktitle = "Proceedings of Digital Processing Applications (TENCON '96)",

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AB - The effectiveness and correctness of edge detection is important in a lot of computer vision algorithms such as object shape recognition and scene analysis. However, it was found that edges extracted from the discontinuities of gray images alone are often incomplete in describing the essential details, and the missing information may be partially recovered by the edges in the chrominance components. In this paper, a novel color edge detector is presented. The method provides a more comprehensive description on the edges of an image by detecting the discontinuities in the gradient of the HSV color space, and is capable of reducing false edge detection in specular reflection regions. The performance of the proposed scheme, and its comparison with other existing techniques are demonstrated. © 1996 IEEE

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U2 - 10.1109/TENCON.1996.608828

DO - 10.1109/TENCON.1996.608828

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0-7803-3679-8

VL - 1

SP - 304

EP - 310

BT - Proceedings of Digital Processing Applications (TENCON '96)

PB - IEEE

T2 - 1996 IEEE Region 10 Conference on Digital Signal Processing Applications (TENCON 96)

Y2 - 26 November 1996 through 29 November 1996

ER -

Edge gradient method on object color

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