Title
Min-max operators in texture analysis.
Abstract
A signature is generated for a given picture by operating on it with different masks. The operations are gray level generalizations of ``shrink'' and ``expand'' for binary pictures using Serra's morphological methods [10]. The signature is a set of numbers, each corresponding to an application of an operator at a certain scale and direction, and can be used to analyze the discriminate textures. It is shown that this family of signatures includes as special cases several currently used texture descriptors.
Year
DOI
Venue
1985
10.1109/TPAMI.1985.4767732
IEEE Trans. Pattern Anal. Mach. Intell.
Keywords
Field
DocType
certain scale,texture descriptors,min-max operators,special case,texture analysis,binary picture,different mask,gray level generalization,discriminate texture,morphological method,data mining,computer science,shape,pattern recognition,pixel,algorithm design and analysis,image segmentation,convolution,fuzzy logic
Computer vision,Algorithm design,Pattern recognition,Generalization,Convolution,Fuzzy logic,Image segmentation,Artificial intelligence,Pixel,Operator (computer programming),Mathematics,Binary number
Journal
Volume
Issue
ISSN
7
6
0162-8828
Citations 
PageRank 
References 
33
52.39
6
Authors
2
Name
Order
Citations
PageRank
M. Werman1343112.04
Shmuel Peleg23612875.26