Detailed explanation of the binary processing function threshold() of opencv

The importance of binary processing for image processing is not much to say .

OpenCV Provides functions threshold() Used for binary processing of images .

Its prototype is as follows ：

C++ Prototype ：

double cv::threshold(	InputArray 	src,
						OutputArray dst,
						double 	thresh,
						double 	maxval,
						int 	type 
					)

Python The prototype is as follows ：

retval, dst	= cv.threshold(src, thresh, maxval, type[, dst])

The meaning of the parameter is as follows ：
src— The input image , It can be multi-channel ,8 Bit or 32 Image of bit dot data type , But when type choice THRESH_OTSU or THRESH_TRIANGLE when , Images can only 8 Bit single channel image .
dst— Output image after binarization .
thresh— Threshold for binarization . When type choice THRESH_OTSU or THRESH_TRIANGLE when , This value is ignored , At this time, the function passes OTSU Law or TRIANGLE Method to calculate the threshold value for binary operation .
maxval— After binarization maxval value , See parameters for details type Enumeration value of and its significance . When type choice THRESH_BINARY or THRESH_BINARY_INV I'll use it when I'm going to .
type— The optional enumeration values and meanings of this parameter are as follows ：

Compared with C++ The prototype of the , stay Python In the prototype of , There are two return parameters , The first return parameter retval Representative function threshold() The value of the threshold used in the binarization process , That's good , Especially for type choice THRESH_OTSU or THRESH_TRIANGLE when , We can know what threshold is used . I once wrote a blog about this situation , link ：https://blog.csdn.net/wenhao_ir/article/details/125188532

After understanding the meaning and value of each parameter , You should have a basic understanding of the use of this function , Next, just look at a few more examples to master .

Examples please move your blog posts https://blog.csdn.net/wenhao_ir/article/details/125592598 see .