A NOVEL DENSITY GRADIENT-BASED COLOR EDGE DETECTION APPROACH

Da Sun (), H. D. Cheng (), Jiafeng Liu () and Xianglong Tang ()
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Da Sun: School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China
H. D. Cheng: Department of Computer Science, Utah State University, Logan, UT 84322-4205, USA
Jiafeng Liu: School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China
Xianglong Tang: School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, China

New Mathematics and Natural Computation (NMNC), 2010, vol. 06, issue 01, 57-75

Abstract: The intensity gradient-based methods are commonly used in edge detection of images. However, these methods are not very suitable for color images and they change the shapes of object contours in large scales. In this paper, a novel density gradient-based method is proposed to solve these problems. The proposed method locates the edges using the density gradients of image pixels instead of the color/intensity gradients. Comparing with the traditional methods, the proposed approach can be applied more effectively to all types of images: gray level, color and multispectral images; and the detection results are invariant to the detection scales as well. It may find wide applications in computer vision and image processing.

Keywords: Edge detection; color image; density gradient (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1142/S179300571000161X

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