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// Copyright (C) 2016 - IIT Bombay - FOSSEE
//
// This file must be used under the terms of the CeCILL.
// This source file is licensed as described in the file COPYING, which
// you should have received as part of this distribution. The terms
// are also available at
// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
// Organization: FOSSEE, IIT Bombay
// Email: toolbox@scilab.in
<<<<<<< HEAD
function cvtimg = CV_AdaptiveThreshold(srcimg,max_value,adaptive_method,thresh_type, block_size, C)
// function to adaptively threshold input image
//
// Calling Sequence
// dst = CV_AdaptiveThreshold(srcimg,max_value,adaptive_method,thresh_type,blk_size,c)
//
// Parameters
// src : Source 8-bit single-channel image.
// max_value : Non-zero value assigned to the pixels for which the condition is satisfied. See the details below.
// adaptive_method : Adaptive thresholding algorithm to use, ADAPTIVE_THRESH_MEAN_C or ADAPTIVE_THRESH_GAUSSIAN_C .
// thresh_type : Thresholding type that must be either THRESH_BINARY or THRESH_BINARY_INV .
// blockSize : Size of a pixel neighborhood that is used to calculate a threshold value for the pixel: 3, 5, 7, and so on.
// C : Constant subtracted from the mean or weighted mean.Normally, it is positive but may be zero or negative as well.
//
// Description
// This function can be used for adaptively threshold given image
//
// This is curretly dummy function. It provides no functionality but is required
// for providing support for generating C code for OpenCV
//
=======
function cvtimg = CV_AdaptiveThreshold(srcimg,max_value,adaptive_method, ...
thresh_type, block_size, C)
// function to adaptively threshold input image
//
// Calling Sequence
// dst = CV_AdaptiveThreshold(srcimg,max_value,adaptive_method, ...
// thresh_type,blk_size,c)
//
// Parameters
// src -> Source 8-bit single-channel image.
// max_value -> Non-zero value assigned to the pixels for which the
// condition is satisfied. See the details below.
// adaptive_method -> Adaptive thresholding algorithm to use,
// ADAPTIVE_THRESH_MEAN_C or ADAPTIVE_THRESH_GAUSSIAN_C .
// thresh_type -> Thresholding type that must be either THRESH_BINARY
// or THRESH_BINARY_INV .
// blockSize -> Size of a pixel neighborhood that is used to calculate
// a threshold value for the pixel: 3, 5, 7, and so on.
// C -> Constant subtracted from the mean or weighted mean.Normally,
// it is positive but may be zero or negative as well.
// Description
// This function can be used for adaptively threshold given image
>>>>>>> 9e5793a7b05b23e6044a6d7a9ddd5db39ba375f0
// Examples
// img = CV_LoadImage('~/test.jpg',0)
// dst = CV_AdaptiveThreshold(img,255,"ADAPTIVE_THRESH_MEAN_C", ...
// "THRESH_BINARY",5,0)
//
// See also
// CV_LoadImage CV_CreateImage
//
// Authors
// Siddhesh Wani
//
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cvtimg = 0
=======
cvtimg = 0
// This is curretly dummy function. It provides no functionality but is required
// for providing support for generating C code for OpenCV
>>>>>>> 9e5793a7b05b23e6044a6d7a9ddd5db39ba375f0
endfunction
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