An effective preprocessor for enhancing edge detection in speckle images

Jung San Lee, Bo Li, Hsin Yi Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Edge detection is an intuive stragety to figure out an object in digital images. Nevertheless, if an image is spread with noise such as ultrasonic noise, scanner noise or camera noise, general edge detectors can not perform effectively. In this paper, a preprocessor is provided to handle this issue. For each pixel in a speckle image, the preprocessor first determines whether it is a noise or not. It then checks if it is located on an edge. According to the information, the preprocessor can define different weighted coefficients to equalize each pixel. After that, we can perform an edge detection mechnism on the processed image to draw the edge map. Experimental results show that the preprocessor is able to effectively enhance the performance of edge detection mechanims in speckle images.

Original languageEnglish (US)
Title of host publicationProceedings - ICIDT 2012, 8th International Conference on Information Science and Digital Content Technology
Pages546-550
Number of pages5
StatePublished - 2012
Externally publishedYes
Event8th International Conference on Information Science and Digital Content Technology, ICIDT 2012 - Jeju, Korea, Republic of
Duration: Jun 26 2012Jun 28 2012

Publication series

NameProceedings - ICIDT 2012, 8th International Conference on Information Science and Digital Content Technology
Volume3

Other

Other8th International Conference on Information Science and Digital Content Technology, ICIDT 2012
Country/TerritoryKorea, Republic of
CityJeju
Period6/26/126/28/12

Keywords

  • edge detection
  • image processing
  • speckle image

ASJC Scopus subject areas

  • Information Systems
  • Software

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