白色文本和黑色文本的单独图像。 [英] Separate images of white text and black text.

问题描述

Hello everyone,
I am a student currently working in a image processing project.
My task is to separate white text and black text images.

<a href="https://drive.google.com/open?id=0B81c7NmWqSF9UGFYTW0wRUNQM2c">3.jpg - Google Drive</a>[<a href="https://drive.google.com/open?id=0B81c7NmWqSF9UGFYTW0wRUNQM2c" target="_blank" title="New Window">^</a>]

<a href="https://drive.google.com/open?id=0B81c7NmWqSF9eTFBQ0pYWGRfeUE">5.jpg - Google Drive</a>[<a href="https://drive.google.com/open?id=0B81c7NmWqSF9eTFBQ0pYWGRfeUE" target="_blank" title="New Window">^</a>] 

Can anyone suggest method/ parameter to differentiate these images.

Thanks in advance.

< b>我尝试了什么：



尝试了各种过滤器但由于图像背景不同而无法区分。

What I have tried:

Tried various filters but unable to differentiate as background is varying in images.

推荐答案

您只是概括了上一个问题。但我的答案已经足够普遍了：区分低对比度和高对比度文本图片。



我无法告诉您需要应用的精确图像转换/过滤器​​，因为它取决于您正在使用的平台和想象库。但是，视觉库的每一个非无意义的图像处理都有对比度操作的方法，以及处理噪声。此外，您可能需要将彩色图像转换为灰度图像（几乎不需要转换为黑白图像，但它取决于库，可用的blob识别，OCR等实现）。



我已经建议你创建一个实验应用程序，你可以在其中使用不同的转换/过滤器​​。获得一些经验并以交互方式找出真正有用的东西非常重要。这种方法非常有效。

-SA

You just generalized your previous question. But my answer was already general enough: Differentiating low and high contrast text images.

I cannot tell you want exact image transformations/filters you have to apply, because it depends on the platform and imagine libraries you are using. But each and every non-nonsense image processing of vision library has the methods for contrast manipulations, as well as dealing with noise. Also, you may need to convert color images to gray-scale (converting to black and white is hardly needed, but it depends on the library, available implementations of blob recognition, OCR, and the like).

I already advised you to create an experimental application where you can play with different transformations/filters. It is really important, to get some experience, and to figure out interactively what really works. This approach is really productive.

—SA

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