Edge detection of the low contrast welded joint image corrupted by noise

Xuming Zhang, Yin Zhouping, Xiong Youlun

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

Abstract

To extract the edges from the low-contrast welded joint image corrupted by noise, the morphological filter is firstly proposed to remove the noise from the image. Then the improved fuzzy edge detection (FED) algorithm is adopted to realize the multi-level fuzzy enhancement of the filtered image and extract the edges from the enhanced image using multi-directional edge detection operator. Experimental results demonstrate that the improved FED algorithm can extract the continuous and thin edges and remove the false edges from the image, which leads to its better performance than the Sobel operator, Canny operator, traditional FED algorithm and fast FED algorithm.
Original languageEnglish
Title of host publication2007 8th International Conference on Electronic Measurement and Instruments, ICEMI
Pages2876-2879
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event2007 8th International Conference on Electronic Measurement and Instruments, ICEMI - Xian, China
Duration: 16 Aug 200718 Aug 2007

Conference

Conference2007 8th International Conference on Electronic Measurement and Instruments, ICEMI
CountryChina
CityXian
Period16/08/0718/08/07

Keywords

  • Edge detection
  • Fuzzy enhancement
  • Morphological filter
  • Welded joint image

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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