Abstract
This paper presents an approach to texture segmentation by thresholding based on compactness measures of fuzzy sets to determine thresholds of an ill-defined image. The extension of fuzziness in the texture feature space provides more meaningful results than by considering fuzziness in gray scale domain. The effectiveness of the algorithm is demonstrated by comparison with other traditional non-fuzzy methods or the controversial fuzzy method in gray Kale alone. In addition, the efficiency of our algorithm is further improved by parallel implementation using distributed shared memory workstations.
Original language | English |
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Title of host publication | Proceedings of the International Symposium on Signal Processing and its Applications, ISSPA |
Pages | 585-588 |
Number of pages | 4 |
Publication status | Published - 1 Dec 1996 |
Externally published | Yes |
Event | Proceedings of the 1996 4th International Symposium on Signal Processing and its Applications, ISSPA'96. Part 2 (of 2) - Gold Coast, Australia Duration: 25 Aug 1996 → 30 Aug 1996 |
Conference
Conference | Proceedings of the 1996 4th International Symposium on Signal Processing and its Applications, ISSPA'96. Part 2 (of 2) |
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Country/Territory | Australia |
City | Gold Coast |
Period | 25/08/96 → 30/08/96 |
ASJC Scopus subject areas
- Signal Processing