Title :
Min-Max Operators in Texture Analysis
Author :
Werman, Michael ; Peleg, Shmuel
Author_Institution :
Center for Automated Research, University of Maryland, College Park, MD 20742; Department of Computer Science, the Hebrew University of Jerusalem, 91904 Jerusalem, Israel.
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.
Keywords :
Computer science; Convolution; Councils; Educational Activities Board; Fuzzy logic; Research and development; Shape; Min-max; morphological operators; texture analysis;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1985.4767732
