Determination of compatibility coefficients for color edge detection by relaxation

Macaire, Ludovic; Ultre, Vincent; Postaire, J.‐G.

doi:10.1109/icip.1996.561019

Cited by 13 publications

(5 citation statements)

References 6 publications

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“…Tsang and Tsang Tsang & Tsang (1996) Tsang & Tsang (1997) used a heuristic choice of component gradients in HSV color space. Macaire et al Macaire et al (1996) used relaxation on the normalized Sobel gradient to classify pixels. Finally, Scharcanski and Venetsanopoulos Scharcanski & Venetsanopoulos (1997) averaged color vectors together before computing directional derivatives and a gradiant.…”

Section: Multidimensional Gradient Methodsmentioning

confidence: 99%

New Robust Obstacle Detection System Using Color Stereo Vision

Cabani¹,

Toulminet²,

Bensrhair³

2011

Advances in Theory and Applications of Stereo Vision

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Section: Multidimensional Gradient Methodsmentioning

confidence: 99%

New Robust Obstacle Detection System Using Color Stereo Vision

Cabani¹,

Toulminet²,

Bensrhair³

2011

Advances in Theory and Applications of Stereo Vision

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“…The DempsterShafer theory is used in Chapron (2000) for fusing the gradients. Macaire et al (1996) used relaxation on the normalized Sobel gradient to classify pixels. Finally, Scharcanski and Venetsanopoulos Scharcanski & Venetsanopoulos (1997) averaged color vectors together before computing directional derivatives and a gradiant.…”

Section: Multidimensional Gradient Methodsmentioning

confidence: 99%

Advances in Theory and Applications of Stereo Vision

Bhatti¹

2011

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He has been actively involved in Research and development in the areas of Computer Vision and Image/Signal processing as well as Haptics and human machine interfaces. Dr.Bhatti has authored two books on the theory and applications of wavelets and multiwavelets analysis in signal and image process and has edited one book on stereo vision. Dr. Bhatti has published over 45 peer reviewed research papers and is awarded a worldwide patent on haptics. He has been part of number of successful competitive research grants and R&D funding through industrial collaboration.

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“…Recently, the edge detection techniques in color images are adaptations of the following three paradigms [6]. The first method makes use of a particular metric in the color space to define the notion of colorimetric distance.…”

Section: Introductionmentioning

confidence: 99%

“…Edge detection in grey scale image processing is a traditional research subject, but recently more and more researchers make efforts on the edge detection in color images [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. In most cases, the human vision system chooses color rather than shapes and textures as the major discrimination attributes.…”

Section: Introductionmentioning

confidence: 99%

Edge detection by using edge density and eleven algorithm comparisons in three types of color images

Wang

2012

SPIE Proceedings

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Edge detection in grey scale image processing is a traditional research subject, but recently more and more researchers make efforts on the edge detection in color images. This paper presents a novel edge detection algorithm using the local, nonparametric estimation of the color image density. The method firstly analyses the edge shape information provided by the local probability distribution of the color image both in the horizontal and vertical directions respectively, then it obtains the modulus for the edge detection in the color image. With the increasing of window size, the other types of distributions can be simplified to the three types of the distributions presented in this study. In experiements, eleven different edge detection algorithms are compared for the three types of color images: smooth surface objects with a few edges; thin (or lines and curves) objects with many edges; and rough surface objects with more edges. And the algorithms include fractional, the first and the second order differential operators and other non-differential ones.Experiments show that the studied method is efficient.for edge extracting in a color image, and can give a satisfactory edge detection result in most cases.

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Determination of compatibility coefficients for color edge detection by relaxation

Cited by 13 publications

References 6 publications

New Robust Obstacle Detection System Using Color Stereo Vision

New Robust Obstacle Detection System Using Color Stereo Vision

Advances in Theory and Applications of Stereo Vision

Edge detection by using edge density and eleven algorithm comparisons in three types of color images

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