opencv中的二值化和背景过滤 [英] Binarization and Background Filtering in opencv

问题描述

很快，我想在OCR之前做出预处理程序，建议来自
特别是狼的二值化，它的效果非常好实践，如果你想在opencv中使用c ++代码，它只需要很少的改动。基本上你必须将指向图像数据的指针传递给这个函数。

Shortly, I want to make the pre-processing procedures before OCR with the suggestion comes from ABBYY 's technology. There are two parts in article:

• Background Filtering: separate text strings from background.
• Adaptive Binarization: make lines and words will be correctly detected and higher recognition accuracy will be reached. And they try to impact on characters.

I wonder are there any ways to achieve them by using opencv? Any suggestions or sample codes would be appreciated.

解决方案

I would encourage you to use this code: http://liris.cnrs.fr/christian.wolf/software/binarize/ In particular wolf's binarization, it works really well in practice and it needs very little change to c++ code if you want to use it with opencv. Basically you have to pass the pointer to your image data to this function.

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