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 language | English |
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Title of host publication | 2007 8th International Conference on Electronic Measurement and Instruments, ICEMI |
Pages | 2876-2879 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 1 Dec 2007 |
Externally published | Yes |
Event | 2007 8th International Conference on Electronic Measurement and Instruments, ICEMI - Xian, China Duration: 16 Aug 2007 → 18 Aug 2007 |
Conference
Conference | 2007 8th International Conference on Electronic Measurement and Instruments, ICEMI |
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Country/Territory | China |
City | Xian |
Period | 16/08/07 → 18/08/07 |
Keywords
- Edge detection
- Fuzzy enhancement
- Morphological filter
- Welded joint image
ASJC Scopus subject areas
- Electrical and Electronic Engineering