Enhance reliability of script in identifying an image exists in a digitised document (OpenCV)

完了済み 投稿 6年前 着払い
完了済み 着払い

I'm trying to use existing software on a project to extract printer's illustrations/ornaments/ornate letters from digitised books. To do this, I have turned to [login to view URL] which draws on OpenCV. However, the software does not reliably identify all of the images on a page; in some cases it does not recognise an illustration exists at all. Can the settings in the [login to view URL] file (attached) be changed to significantly improve the chances of identifying/extracting illustrations?

For instance, [login to view URL] - the illustration is identified as something to be extracted. But [login to view URL] the image is not seen. Also, in [login to view URL] only one image is found (the ornate letter on the left) but not on the right. [login to view URL] is not seen as containing an image. [login to view URL] - software does not see any illustrated elements (though there are two). [login to view URL] no illustration is detected.

OpenCV Python

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5個の提案 リモートプロジェクト アクティブ 6年前

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earthat

HI, I checked the code of fleuron. The canny threshold is used for binarization, this is what which can be improved for better results. I can help you out in this. Relevant Skills and Experience Python: 5+ years o もっと

€194 EUR 20日以内
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5.6

5人のフリーランサーが、平均€141 で、この仕事に入札しています。

MetaoriginLab

Our dedicated team of software and programming professionals provides our clients with state of the art programming solutions in the python language. Me and my team has 5 years of experience into Python/Django,OpenCV & もっと

€248 EUR 8日以内
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2.2