MMach: a mathematical morphology toolbox for the KHOROS system

Junior Barrera; Gerald Jean Franc Banon; Roberto Alencar Lotufo; Roberto Hirata Jr.

doi:10.1117/1.482637

1 January 1998 MMach: a mathematical morphology toolbox for the KHOROS system

Junior Barrera, Gerald Jean Franc Banon, Roberto Alencar Lotufo, Roberto Hirata Jr.

Journal of Electronic Imaging, Vol. 7, Issue 1, (January 1998). https://doi.org/10.1117/1.482637

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available