function  mmreadme
%  MMREADME General information.
%
%   MMREADME
%
%  The SDC Morphology Toolbox for MATLAB is a  software  for Image
%    Analysis and Signal Processing. It is composed by a family of
%    discrete non linear filters based on lattice operations. These
%    filters, called morphological operators,  are quite useful for
%    restoration, segmentation and quantitative analysis of Images and
%    Signals.
%
%  The  SDC Morphology Toolbox contains state-of-the-art morphological
%    operators, implemented by the most efficient known algorithms.
%    The available operators go from the classical morphological
%    filters, used for restoration and shape description, to the
%    modern connected filters and watersheds,  so powerful for image
%    segmentation.
%
%  The potential of the SDC Morphology Toolbox is illustrated by
%    several demos, that show the morphological solution of many real-
%    life image processing problems. Some of the application areas
%    covered are  machine vision, medical imaging, desktop publishing,
%    document processing, food industry and agriculture.
%
%  The reference manual has a page of documentation for each function
%    of the toolbox. These pages  present the respective command
%    syntax, a detailed explanation of the necessary parameters, a
%    short description, an application example and the formal
%    definition.
%
%  The SDC Morphology Toolbox deals with gray-scale and binary images
%    (or signals) and is data type oriented. Thus,  most operators
%    perform both gray-scale and binary image (or signal) processing
%    and the choice of the appropriate (binary or gray-scale)
%    algorithm is automatic.
%
%  The images (or signals) may be represented by the formats: binary,
%    8-bit gray-scale and 16-bit gray-scale, where each pixel is
%    represented, respectively, by a logical uint8, a uint8 and uint16
%    data type.
%
%  Morphological operators may be written hierarchically from two
%    elementary operators, called dilation and erosion.  SDC
%    Morphology Toolbox has very efficient implementations for
%    dilation and erosion and permits the realization of any
%    morphological operator by this constructive approach. However,
%    for getting more efficiency, several operators are also
%    implemented by special fast algorithms. Some of these operators
%    are distance transform, watershed, reconstruction, labeling and
%    area-opening.
%
%  Dilations and erosions are parameterized by particular images (or
%    signals), called structuring elements. These structuring elements
%    may be flat (binary images or signals) or non flat (gray-scale
%    images or signals). The SDC Morphology Toolbox supports both
%    kinds of structuring elements and represents them in a decomposed
%    form, which increases the performance of the corresponding
%    dilation and erosion.
%
%  The SDC Morphology Toolbox is supported in 3 platforms: Win95/98/NT,
%    Linux and Solaris.
%
%  Under the optics of software engineering,  SDC Morphology Toolbox
%    is a collection of functions implemented as mex files , that
%    depend on a dynamic library, called libmorph.dll or libmorph.so
%    ( depending on the platform).
%
%
%
%  REQUIREMENTSSDC Morphology Toolbox depends on MATLAB version 5 or
%    above. It does not depend on any other toolbox. The mex files are
%    compiled for Windows 95/NT or above, for Intel/Linux and for Sun/
%    Solaris.
%
%  See also MMHISTORY, MMHOWTOINSTALL, MMLICENSE, MMVERSION.

% begin of the default argument automatic treatment% end of the default argument automatic treatment 1

help mmreadme


%  Copyright (c) 1998-2001 by SDC Information Systems.