Enhance reliability of script in identifying an image exists in a digitised document (OpenCV)
€30-250 EUR
Complété
Publié il y a plus de 6 ans
€30-250 EUR
Payé lors de la livraison
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.
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
openCV: 5+ years
image binarisation
Proposed Milestones
€194 EUR - Complete Work
Lets discuss the details in chat. My method is suitable for historical document binarisation. Check out [login to view URL]
With Regards
€194 EUR en 20 jours
4,8 (30 commentaires)
5,6
5,6
5 freelances proposent en moyenne €141 EUR pour ce travail
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 & Data Scraping or Web Crawling. Can very well execute this Project and can work at US hours.