Statistical Edge Detecting Method Using a New operator.

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  • Lee, Hae-Young (Dept. of Electronics Eng. Sung Kyun Kwan university) ;
  • Kim, Hoon-Hak (Dept. of Electronics Eng. Sung Kyun Kwan university) ;
  • Lee, Keun-Young (Dept. of Electronics Eng. Sung Kyun Kwan university)
  • 이해영 (성균관대학교 대학원 전자공학과) ;
  • 김훈학 (성균관대학교 대학원 전자공학과) ;
  • 이근영 (성균관대학교 대학원 전자공학과)
  • Published : 1987.07.03

Abstract

It is difficult to detect edge segments from a noisy image since the image have a noise in piratical applications which utilize some type of visual input capability. Hence, the proposed algorithm consists of the modality tests based on parallel statistical tests without a noise removal preprocessing or postprocessing, and the edge detection technique With one-Pixel edge segments in this paper. The algorithm is very reliable and effective in the case of those situations where the Picture is poor quality and low resolution. And it does'nt require thinning operation and thresholding in hand. Experimental comparision With the more conventional techniques when applied to typical low-quality Pictures confirms good capabilities of the algorithm.

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