Title :
Texture image segmentation using fractional discrimination functions
Author :
You, J. ; Hungenahally, S. ; Sattar, A.
Author_Institution :
Sch. of Comput. & Inf. Technol., Griffith Univ., Brisbane, Qld., Australia
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
Keywords :
feature extraction; functions; image segmentation; image texture; noise; fractional discrimination functions; noise; selective feature extraction; texture feature detection; texture image segmentation; texture variation; 1f noise; Application software; Computer vision; Data mining; Feature extraction; Image segmentation; Image texture analysis; Information technology; Microelectronics; Stochastic processes;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.669132
