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Development and Implementation of Statistical Edge Detectors on the Web

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2005, 10(4), pp.133-141
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Dong Hoon Lim 1

1경상대학교

Candidate

ABSTRACT

An edge is where the intensity of an image moves from a low value to high value or vice versa. The edges tell where objects are, their shape and size, and something about their texture. Many traditional edge operators are derivative based and perform reasonably well for simple noise-free images. In recent, statistical edge detectors for complex images with noises have been described. This paper compares and analysis the performance of statistical edge detectors based on the T test and Wilcoxon test, and mathematical edge detectors based on Sobel operator, and the well-known Canny detector and Wavelet transformation detector, and provides the implementation of these edge detectors using Java on the web.

Citation status

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