Abstract | ||
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Mathematical morphology is a general theory that studies the decomposition of operators between complete lattices in terms of some families of simple operators: dilations, erosions antidilations, and antierosions. Nowadays, this theory is largely used in image processing and computer vision to extract information from images. The KHOROS system is an open and general environment for image processing and visualization that has become very popular. One of the main characteristics of KHOROS is ifs flexibility, since it runs on standard machines, supports several standard data formats, uses a Visual programming language, and has tools to help the users to build in and install their own programs. A set of new programs can be organized as a subsystem called a toolbox. We present MMach, a fast and comprehensive mathematical morphology toolbox for the KHOROS system dealing with 1-D and 2-0 gray-scale and binary images. Each program that is applicable to gray-scale and binary images has specialized algorithms for each of these data types, and these algorithms are chosen automatically according to the input data. Several examples illustrate applications of the toolbox in image analysis. (C) 1998 SPIE and IS&T. [S1017-9909(98)01701-2]. |
Year | DOI | Venue |
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1998 | 10.1117/1.482637 | JOURNAL OF ELECTRONIC IMAGING |
Keywords | Field | DocType |
mathematical morphology | Computer vision,Visualization,Computer science,Mathematical morphology,Binary image,Toolbox,Image processing,Visual programming language,Data type,Artificial intelligence,Grayscale | Journal |
Volume | Issue | ISSN |
7 | 1 | 1017-9909 |
Citations | PageRank | References |
7 | 4.07 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Junior Barrera | 1 | 237 | 43.96 |
Gerald Jean Francis Banon | 2 | 7 | 4.07 |
Roberto de Alencar Lotufo | 3 | 572 | 53.61 |
Roberto Hirata Jr. | 4 | 13 | 7.80 |