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| author | Siddhesh Wani | 2017-06-30 14:10:45 +0530 |
|---|---|---|
| committer | GitHub | 2017-06-30 14:10:45 +0530 |
| commit | ec7b617027e145730e028727bd74afb323f495af (patch) | |
| tree | 798ae26a88891509424f8ade489b87cbf2af2093 /2.3-1/macros/ImageProcessing/imgproc/CV_AdaptiveThreshold.sci | |
| parent | f805bc9553b3d88d7c9e7dbf59486c5da490231e (diff) | |
| parent | 4c6f1a8cced5610ab5075ea61c507c1dbc25f520 (diff) | |
| download | Scilab2C-ec7b617027e145730e028727bd74afb323f495af.tar.gz Scilab2C-ec7b617027e145730e028727bd74afb323f495af.tar.bz2 Scilab2C-ec7b617027e145730e028727bd74afb323f495af.zip | |
Merge pull request #12 from jschandi/master
Help files and modified Raspberry Pi code conversion
Diffstat (limited to '2.3-1/macros/ImageProcessing/imgproc/CV_AdaptiveThreshold.sci')
| -rw-r--r-- | 2.3-1/macros/ImageProcessing/imgproc/CV_AdaptiveThreshold.sci | 33 |
1 files changed, 15 insertions, 18 deletions
diff --git a/2.3-1/macros/ImageProcessing/imgproc/CV_AdaptiveThreshold.sci b/2.3-1/macros/ImageProcessing/imgproc/CV_AdaptiveThreshold.sci index a922d798..e594f372 100644 --- a/2.3-1/macros/ImageProcessing/imgproc/CV_AdaptiveThreshold.sci +++ b/2.3-1/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 |