Examples
img = CV_LoadImage('~/test.jpg',0) dst = CV_AdaptiveThreshold(img,255,"ADAPTIVE_THRESH_MEAN_C", ... "THRESH_BINARY",5,0) |  |  |
function to adaptively threshold input image
dst = CV_AdaptiveThreshold(srcimg,max_value,adaptive_method,thresh_type,blk_size,c)
Source 8-bit single-channel image.
Non-zero value assigned to the pixels for which the condition is satisfied. See the details below.
Adaptive thresholding algorithm to use, ADAPTIVE_THRESH_MEAN_C or ADAPTIVE_THRESH_GAUSSIAN_C .
Thresholding type that must be either THRESH_BINARY or THRESH_BINARY_INV .
Size of a pixel neighborhood that is used to calculate a threshold value for the pixel: 3, 5, 7, and so on.
Constant subtracted from the mean or weighted mean.Normally, it is positive but may be zero or negative as well.
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
img = CV_LoadImage('~/test.jpg',0) dst = CV_AdaptiveThreshold(img,255,"ADAPTIVE_THRESH_MEAN_C", ... "THRESH_BINARY",5,0) | | |