Abstract
This paper presents an approach to texture image segmentation using a family of fractional discrimination functions. In contrast to the conventional methods, the proposed functions provide uniform treatment of the existing functions and operators for selective feature extraction. The effectiveness of fractional discrimination functions for texture feature detection is demonstrated in the presence of noise and texture variation.
Original language | English |
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Title of host publication | Proceedings of the IEEE International Conference on Intelligent Processing Systems, ICIPS |
Publisher | IEEE |
Pages | 1031-1035 |
Number of pages | 5 |
Publication status | Published - 1 Jan 1998 |
Externally published | Yes |
Event | Proceedings of the 1997 IEEE International Conference on Intelligent Processing Systems, ICIPS'97. Part 1 (of 2) - Beijing, China Duration: 28 Oct 1997 → 31 Oct 1997 |
Conference
Conference | Proceedings of the 1997 IEEE International Conference on Intelligent Processing Systems, ICIPS'97. Part 1 (of 2) |
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Country/Territory | China |
City | Beijing |
Period | 28/10/97 → 31/10/97 |
ASJC Scopus subject areas
- General Computer Science
- General Engineering