Paper
30 June 1994 Mathematical morphology toolbox for the KHOROS system
Junior Barrera, Gerald Jean Franc Banon, Roberto Alencar Lotufo
Author Affiliations +
Abstract
Mathematical Morphology is a general theory that studies the decompositions of mappings between complete lattices in terms of some families of simple mappings: dilations, erosions, anti-dilations and anti-erosions. 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 out on standard machines, supports several standard data formats, uses a visual programming language, and has tools to help the user to build and install his own programs. A set of new programs can be organized as a subsystem, called Toolbox. This paper presents a fast and comprehensive Mathematical Morphology Toolbox for the KHOROS system, that deals with binary, gray- scale and multiple band images. Each program has specialized algorithms for binary and gray- scale images, that are chosen automatically according to the input data. These implemented algorithms running on current general purpose workstations are as fast as the equivalent ones running on specialized hardware with 1986 technology.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Junior Barrera, Gerald Jean Franc Banon, and Roberto Alencar Lotufo "Mathematical morphology toolbox for the KHOROS system", Proc. SPIE 2300, Image Algebra and Morphological Image Processing V, (30 June 1994); https://doi.org/10.1117/12.179195
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Cited by 20 scholarly publications.
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KEYWORDS
Binary data

Mathematical morphology

Image segmentation

Associative arrays

Image filtering

Image processing

Human-machine interfaces

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