Paper Title:
Study on Object Contour Extraction Based on Hölder Exponent and Multifractal Spectrum
  Abstract

Object contour extraction is one of the most important steps for object segmentation and recognition. The edge detection method based on gradient detection have some disadvantages if there are some noise in image, the edge errors occur in the gradient detection stage will be transmitted to the edge connection stage and the errors can’t be modified during the procedure. Multifractal spectrum gives a complete statistical description of the singularity in the image. In this paper, a new method based on the combination of the singularity and multifractal analysis is proposed to extract object contour. The experiments show that the contour extraction results are encouraging.

  Info
Periodical
Chapter
Chapter 2: Signal and Image Processing in Industry
Edited by
Gary Yang
Pages
267-270
DOI
10.4028/www.scientific.net/AMR.429.267
Citation
J. Zhang, "Study on Object Contour Extraction Based on Hölder Exponent and Multifractal Spectrum", Advanced Materials Research, Vol. 429, pp. 267-270, 2012
Online since
January 2012
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