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1 January 1998 MMach: a mathematical morphology toolbox for the KHOROS system
Junior Barrera, Gerald Jean Franc Banon, Roberto Alencar Lotufo, Roberto Hirata Jr.
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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 its 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-D grayscale and binary images. Each program that is applicable to grayscale 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.
Junior Barrera, Gerald Jean Franc Banon, Roberto Alencar Lotufo, and Roberto Hirata Jr. "MMach: a mathematical morphology toolbox for the KHOROS system," Journal of Electronic Imaging 7(1), (1 January 1998). https://doi.org/10.1117/1.482637
Published: 1 January 1998
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Cited by 32 scholarly publications.
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KEYWORDS
Binary data

Image segmentation

Image filtering

Mathematical morphology

Image processing

Image enhancement

Visualization

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