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A Novel Density Gradient-Based Color Edge Detection Approach

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Author Info

  • 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)

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    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.

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    Bibliographic Info

    Article provided by World Scientific Publishing Co. Pte. Ltd. in its journal New Mathematics and Natural Computation.

    Volume (Year): 06 (2010)
    Issue (Month): 01 ()
    Pages: 57-75

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    Handle: RePEc:wsi:nmncxx:v:06:y:2010:i:01:p:57-75

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    Related research

    Keywords: Edge detection; color image; density gradient;

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