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Image segmentation via local higher order statistics
Author(s) -
Farhadi Ali,
Shahshahani Mehrdad
Publication year - 2003
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.10069
Subject(s) - segmentation , artificial intelligence , pixel , computer science , image segmentation , scale space segmentation , texture (cosmology) , pattern recognition (psychology) , image (mathematics) , image texture , computer vision , segmentation based object categorization , order (exchange) , economics , finance
The aim of this work is to present a method for the segmentation of images based on local higher order statistics. The algorithm can be applied for the separation of objects from a texture background and the segmentation of textures. The proposed technique makes no use of a data bank and its complexity is O ( ) where is the number of pixels. © 2003 Wiley Periodicals, Inc. Int J Imaging Syst Technol 13, 215–223, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.10069