扫描的文档中的背景/前景层分离 [英] Separation of background/foreground layers in a scanned document
问题描述
我需要自动删除OCR扫描文档图像的轻微彩色背景。
I need to automatically remove the mildly colored background of a scanned document image for OCR.
ScanTailor 是一个开源C ++基于GUI的应用程序，并除其他事项外背景分离，但我不能弄清楚如何只运行最后一步，实际上消除了背景。
ScanTailor is an open source C++ GUI-based app that does background separation among other things, but I cannot figure out how to run only the last step which actually removes the background.
在理想情况下，我能找到code，这是否与之一：
Ideally, I could find the code that does this and either:
- 端口部分为C＃
- 修改C ++来响应命令行执行，只是执行给定的图像上步
你能帮助我理解我该怎么办要么？结果
或者你知道，能做到这一点其他图书馆？ （任何语言/平台接受）
Can you help me understand how I can do either?
or do you know other libraries that can do this? (any language/platform acceptable)
推荐答案
您指的阈值，去噪及噪声消除技术，这是必要的OCR应用程序。
You are referring to Thresholding, Despeckling and Noise Removal techniques which are necessary in OCR applications.
结果的质量很大程度上取决于一个许多不同的因素 -
The quality of the results depends very much an many different factors -
打印原有的质量
扫描质量
图像分辨率
背景颜色和图案的使用。
噪声和其他标记。
Print quality of the original Scan quality Image resolution Background colours and patterns used. Noise and other marks.
您可能会发现在 http://www.hi-components.com的IEvolution.NET库/nievolution.asp 有用。它有许多图像处理功能一起玩。
You may find the IEvolution.NET library at http://www.hi-components.com/nievolution.asp useful. It has many image processing functions to play with.
有许多可用的商用发动机。还有就是要解决图像处理问题，没有一个完善的功能。你必须适应的功能和参数，以配合您的图像。 http://www.recogniform.com/thresholding.htm
There are many commercial engines available. There is no one perfect function to solve image processing problems. You must adapt the functions and parameter to match your images. http://www.recogniform.com/thresholding.htm
- Best threshold for converting grayscale to black and white
- Adaptive threshold binarization: post-processing for removing ghost objects.
- Adaptive threshold Binarization's bad effects
- fast threshold and bit packing algorithm ( possible improvements ? )
一个谷歌搜索会显示很多结果。
A Google search will show up lots of results.
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