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| author | Jorawar Singh | 2017-06-30 11:28:58 +0530 |
|---|---|---|
| committer | Jorawar Singh | 2017-06-30 11:28:58 +0530 |
| commit | aef4e8398f2b1848b0e4cdd9580dbbe93e4006f9 (patch) | |
| tree | be1db2f0453859eca8b4ae6e18c90baae68cc2bc /macros/ImageProcessing/imgproc/CV_AdaptiveThreshold.sci | |
| parent | b33afdb2311fbe8aad4c5c614c6098585fe2d279 (diff) | |
| download | Scilab2C_fossee_old-aef4e8398f2b1848b0e4cdd9580dbbe93e4006f9.tar.gz Scilab2C_fossee_old-aef4e8398f2b1848b0e4cdd9580dbbe93e4006f9.tar.bz2 Scilab2C_fossee_old-aef4e8398f2b1848b0e4cdd9580dbbe93e4006f9.zip | |
Help files, modified Raspberry Pi code conversion
Diffstat (limited to 'macros/ImageProcessing/imgproc/CV_AdaptiveThreshold.sci')
| -rw-r--r-- | macros/ImageProcessing/imgproc/CV_AdaptiveThreshold.sci | 33 |
1 files changed, 15 insertions, 18 deletions
diff --git a/macros/ImageProcessing/imgproc/CV_AdaptiveThreshold.sci b/macros/ImageProcessing/imgproc/CV_AdaptiveThreshold.sci index a922d79..e594f37 100644 --- a/macros/ImageProcessing/imgproc/CV_AdaptiveThreshold.sci +++ b/macros/ImageProcessing/imgproc/CV_AdaptiveThreshold.sci @@ -8,28 +8,26 @@ // Organization: FOSSEE, IIT Bombay // Email: toolbox@scilab.in -function cvtimg = CV_AdaptiveThreshold(srcimg,max_value,adaptive_method, ... - thresh_type, block_size, C) +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) +// 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. +// 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 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 +// // Examples // img = CV_LoadImage('~/test.jpg',0) // dst = CV_AdaptiveThreshold(img,255,"ADAPTIVE_THRESH_MEAN_C", ... @@ -41,8 +39,7 @@ function cvtimg = CV_AdaptiveThreshold(srcimg,max_value,adaptive_method, ... // Authors // Siddhesh Wani // + cvtimg = 0 -// This is curretly dummy function. It provides no functionality but is required -// for providing support for generating C code for OpenCV endfunction |