www.gusucode.com > matlab灰度运行长度矩阵工具箱 > matlab灰度运行长度矩阵工具箱/matlab灰度运行长度矩阵工具箱/GLRL/grayrlmatrix.m
function [GLRLMS,SI]= grayrlmatrix(varargin)
% Description
% -------------------------------------------
% Computes the graylevel run length (GLRL) matrix used for textural
% analysis of an image using zigzag scan method.The method includes four
% basic steps
% Step 1 determine direction
% Step 2 zigzag scan
% Step 3 obtain new sequences
% Step 4 calculate run-length matrix
% -----------------------------------------
% GLRLMS = GRAYRLMATRIX(I,PARAM1,VALUE1,PARAM2,VALUE2,...) returns one or more
% gray-level run-length matrices, depending on the values of the optional
% parameter/value pairs. Parameter names can be abbreviated, and case does
% not matter.
% ------------------------------------------
% Parameters include:
% ------------------------------------------
% 'Offset' A p-by-1 vector of offsets specifying the scanning direction.
%
%
% Angle OFFSET
% ----- ------
% 0 1
% 45 2
% 90 3
% 135 4
%
% OFFSET must be integers from {1 2 3 4}.
%
% Default: [1 2 3 4]
%
% 'NumLevels' An integer specifying the number of gray levels to use when
% scaling the grayscale values in I. For example, if
% 'NumLevels' is 8, GRAYRLMATRIX scales the values in I so
% they are integers between 1 and 8. The number of gray levels
% determines the size of the gray-level run-length matrix
%
%
% 'NumLevels' must be an integer. 'NumLevels' must be 2 if I
% is logical.
%
% Default: 8 for numeric
% 2 for logical
%
% 'GrayLimits' A two-element vector, [LOW HIGH], that specifies how the
% grayscale values in I are linearly scaled into gray
% levels. Grayscale values less than or equal to LOW are
% scaled to 1. Grayscale values greater than or equal to
% HIGH are scaled to HIGH. If 'GrayLimits' is set to [],
% GRAYRLMATRIX uses the minimum and maximum grayscale values
% in I as limits, [min(I(:)) max(I(:))].
%
% Default: the LOW and HIGH values specified by the
% class, e.g., [LOW HIGH] is [0 1] if I is double and
% [-32768 32767] if I is int16.
%
% ------------------------------------------
% Example
% ------------------------------------------
% I =[1 1 1 2 2
% 3 4 2 2 3
% 4 4 4 4 4
% 5 5 3 3 3
% 1 1 3 4 5]
% [GLRLMS,SI] = grayrlmatrix(I,'NumLevels',5,'G',[])
% I =
% 1 1 1 2 2
% 3 4 2 2 3
% 4 4 4 4 4
% 5 5 3 3 3
% 1 1 3 4 5
% GLRLMS(:,:,1) =
% 0 1 1 0 0
% 0 2 0 0 0
% 3 0 1 0 0
% 2 0 0 0 1
% 1 1 0 0 0
% GLRLMS(:,:,2) =
% 5 0 0 0 0
% 0 2 0 0 0
% 4 1 0 0 0
% 5 1 0 0 0
% 3 0 0 0 0
% GLRLMS(:,:,3) =
% 5 0 0 0 0
% 2 1 0 0 0
% 4 1 0 0 0
% 5 1 0 0 0
% 3 0 0 0 0
% GLRLMS(:,:,4) =
% 5 0 0 0 0
% 4 0 0 0 0
% 6 0 0 0 0
% 5 1 0 0 0
% 3 0 0 0 0
% SI =
% 1 1 1 2 2
% 3 4 2 2 3
% 4 4 4 4 4
% 5 5 3 3 3
% 1 1 3 4 5
% -------------------------------------------
% See also zigzag rle_0 rle_45
% -------------------------------------------
% Author:
% -------------------------------------------
% (C)Xunkai Wei <xunkai.wei@gmail.com>
% Beijing Aeronautical Technology Research Center
% Beijing %9203-12,100076
% -------------------------------------------
% History:
% -------------------------------------------
% Creation: beta Date: 01/10/2007
% Revision: 1.0 Date: 14/11/2007
% -------------------------------------------
% Bug Fixed:
% -------------------------------------------
% 1.Issue wrong results for nonsquare matrix,now output cells instead of
% multi-dim arrays
% 2.Add support for inputs checking inspired by MATLAB style
%
[I, Offset, NL, GL] = ParseInputs(varargin{:});
% Scale I so that it contains integers between 1 and NL.
if GL(2) == GL(1)
SI = ones(size(I));
else
slope = (NL-1) / (GL(2) - GL(1));
intercept = 1 - (slope*(GL(1)));
SI = round(imlincomb(slope,I,intercept,'double'));
end
% Clip values if user had a value that is outside of the range, e.g., double
% image = [0 .5 2;0 1 1]; 2 is outside of [0,1]. The order of the following
% lines matters in the event that NL = 0.
SI(SI > NL) = NL;
SI(SI < 1) = 1;
% total numbers of direction
numOffsets = size(Offset,1);
if NL ~= 0
% make direction matrix for all given directions
for k = 1 : numOffsets
GLRLMS{k} = computeGLRLM(SI,Offset(k),NL);
end
else
GLRLMS = [];
end
% --------------------------------------------------------------------
function oneGLRLM = computeGLRLM(si,offset,nl)
% For given direction, compute the run length matrix
switch offset
case 1
% 0 degree
oneGLRLM = rle_0(si,nl);
case 2
% 45 degree
seq = zigzag(si);
oneGLRLM = rle_45(seq,nl);
case 3
% 90 degree
oneGLRLM = rle_0(si',nl);
case 4
% 135 degree
seq = zigzag(fliplr(si));
oneGLRLM = rle_45(seq,nl);
otherwise
error('Only 4 directions supported')
end
% --------------------------------------------------------------------
function [I, offset, nl, gl] = ParseInputs(varargin)
% parsing parameter checking
% Inputs must be max seven item
iptchecknargin(1,7,nargin,mfilename);
%
% Check I
I = varargin{1};
iptcheckinput(I,{'logical','numeric'},{'2d','real','nonsparse'}, ...
mfilename,'I',1);
% ------------------------
% Assign Defaults
% -------------------------
% four directions 0, 45, 90,135
offset = [1;2;3;4];
%
if islogical(I)
nl = 2;
else
nl = 8;
end
gl = getrangefromclass(I);
% Parse Input Arguments
if nargin ~= 1
paramStrings = {'Offset','NumLevels','GrayLimits'};
for k = 2:2:nargin
param = lower(varargin{k});
inputStr = iptcheckstrs(param, paramStrings, mfilename, 'PARAM', k);
idx = k + 1; %Advance index to the VALUE portion of the input.
if idx > nargin
eid = sprintf('Images:%s:missingParameterValue', mfilename);
msg = sprintf('Parameter ''%s'' must be followed by a value.', inputStr);
error(eid,'%s', msg);
end
switch (inputStr)
case 'Offset'
offset = varargin{idx};
iptcheckinput(offset,{'logical','numeric'},...
{'d','nonempty','integer','real'},...
mfilename, 'OFFSET', idx);
% must be row vector
if size(offset,2) ~= 1
eid = sprintf('Images:%s:invalidOffsetSize',mfilename);
msg = 'OFFSET must be an n x 1 array.';
error(eid,'%s',msg);
end
offset = double(offset);
case 'NumLevels'
nl = varargin{idx};
iptcheckinput(nl,{'logical','numeric'},...
{'real','integer','nonnegative','nonempty','nonsparse'},...
mfilename, 'NL', idx);
if numel(nl) > 1
eid = sprintf('Images:%s:invalidNumLevels',mfilename);
msg = 'NL cannot contain more than one element.';
error(eid,'%s',msg);
elseif islogical(I) && nl ~= 2
eid = sprintf('Images:%s:invalidNumLevelsForBinary',mfilename);
msg = 'NL must be two for a binary image.';
error(eid,'%s',msg);
end
nl = double(nl);
case 'GrayLimits'
gl = varargin{idx};
iptcheckinput(gl,{'logical','numeric'},{'vector','real'},...
mfilename, 'GL', idx);
if isempty(gl)
gl = [min(I(:)) max(I(:))];
elseif numel(gl) ~= 2
eid = sprintf('Images:%s:invalidGrayLimitsSize',mfilename);
msg = 'GL must be a two-element vector.';
error(eid,'%s',msg);
end
gl = double(gl);
end
end
end