??????? 摘自于OpenCV?Doc2.410，opencv2refman文檔.

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1.函數(shù)原型?

adaptiveThreshold //Applies an adaptive threshold to an array. C++: void adaptiveThreshold(InputArray src, OutputArray dst, double maxValue, int adaptiveMethod,int thresholdType, int blockSize, double C) Python: cv2.adaptiveThreshold(src, maxValue, adaptiveMethod, thresholdType, blockSize, C[, dst ]) !dst C: void cvAdaptiveThreshold(const CvArr* src, CvArr* dst, double max_value,int adaptive_method=CV_ADAPTIVE_THRESH_MEAN_C, int threshold_type=CV_THRESH_BINARY, int block_size=3, double param1=5) Python: cv.AdaptiveThreshold(src, dst, maxValue, adaptive_method=CV_ADAPTIVE_THRESH_MEAN_C,thresholdType=CV_THRESH_BINARY, blockSize=3, param1=5) ! None Parameters src – Source 8-bit single-channel image. dst – Destination image of the same size and the same type as src . maxValue – Non-zero value assigned to the pixels for which the condition is satisfied. See the details below. adaptiveMethod – Adaptive thresholding algorithm to use, ADAPTIVE_THRESH_MEAN_C or ADAPTIVE_THRESH_GAUSSIAN_C . See the details below. thresholdType – Thresholding type that must be either THRESH_BINARY or THRESH_BINARY_INV .
2.圖片處理效果

原始圖片：

處理效果：

對比Canny的處理效果：

?結(jié)果就差一個(gè)反色處理？

Canny+反色

3.方法分析

參考鏈接：http://blog.chinaunix.net/uid-20805029-id-1704893.html

函數(shù) cvAdaptiveThreshold 將灰度圖像變換到二值圖像；

???? 對方法 CV_ADAPTIVE_THRESH_MEAN_C，先求出塊中的均值，再減掉param1。
???? 對方法 CV_ADAPTIVE_THRESH_GAUSSIAN_C ，先求出塊中的加權(quán)和(gaussian)， 再減掉param1。

參數(shù)不同會(huì)產(chǎn)生不同的轉(zhuǎn)換效果.

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