Update to 2.0.0 tree from current Fremantle build

[opencv] / interfaces / matlab / toolbox / opencv / cvadaptivethreshold.m

diff --git a/interfaces/matlab/toolbox/opencv/cvadaptivethreshold.m b/interfaces/matlab/toolbox/opencv/cvadaptivethreshold.m
deleted file mode 100644 (file)
index 480d18e..0000000
--- a/interfaces/matlab/toolbox/opencv/cvadaptivethreshold.m
+++ /dev/null
@@ -1,47 +0,0 @@
-function varargout = cvadaptivethreshold(varargin)\r
-%CVADAPTIVETHRESHOLD Apply adaptive threshold\r
-%   IMAGE dst = cvAdaptiveThreshold(IMAGE src,\r
-%     DOUBLE maxVal, type, neighborhoodSize, minVariance);\r
-%   src              - source image\r
-%   maxValue         - the maximum value of the image pixel\r
-%   type:\r
-%     'binary'       - val = (val>thresh? maxValue:0)\r
-%     'binary_inv'   - val = (val>thresh? 0:maxValue)\r
-%     'trunc'        - val = (val>thresh? thresh:val)\r
-%     'tozero'       - val = (val>thresh? val:0)\r
-%     'tozero_inv'   - val = (val>thresh? 0:val)\r
-%   neighborhoodSize - 3, 5 or 7\r
-%   minVariance      - value of the minimum variance\r
-%\r
-%   dst - destination image\r
-\r
-if nargin ~= 5\r
-    error 'Invalid number of parameters';\r
-    return;\r
-end\r
-\r
-varargin{5} = [(varargin{4} - 1) / 2, varargin{5}]; %parameters\r
-\r
-if ~ischar(varargin{3})\r
-    error 'Invalid parameter ''type''';\r
-    return;\r
-end;\r
-\r
-type_t = {'binary', 'binary_inv', 'trunc', 'tozero', 'tozero_inv'};\r
-type_i = [0, 1, 2, 3, 4];\r
-idx = strmatch(varargin{3}, type_t, 'exact');\r
-if isempty(idx)\r
-    error 'Invalid parameter ''type''';\r
-    return;\r
-end\r
-varargin{4} = type_i(idx(1)); % type\r
-varargin{3} = 0; % method. CV_STDDEV_ADAPTIVE_THRESH\r
-\r
-if nargout > 1\r
-    error 'Too many output parameters'\r
-    return;\r
-end;\r
-\r
-[varargout{1}] = feval('cvwrap', 'AdaptiveThreshold', varargin{:});\r
-\r
-return;
\ No newline at end of file