I someone wants to try this and is looking for a python implementation here is one:
http://scikit-image.org/docs/dev/auto_examples/segmentation/plot_niblack_sauvola.html https://github.com/scikit-image/scikit-image/pull/905/files/bb6af8ec723776fc821654847aec04a652f70042 binary_phansalkar = threshold_sauvola(image, w=25, method='phansalkar', r =50) (I did not try it yet) Lorenzo Il giorno ven 8 mar 2019 alle ore 08:28 'Lars Fricke' via tesseract-ocr < [email protected]> ha scritto: > Hi, > > we use the local Phansalkar binarizer with default values. you can try > that very easy in the imagej fiji package. works perfect for all kinds of > input, especially with scans with poor lightning and bad contrast. > > there is a nice comparison and yet another method in > > https://www.google.com/url?sa=t&source=web&rct=j&url=https://arxiv.org/pdf/1609.08078&ved=2ahUKEwjasPKLgvLgAhXLJVAKHdrHCV8QFjAAegQIBRAB&usg=AOvVaw1VmuXsg5fEG3hTTkg_7WcZ > > regards lars > > > 易鑫 <[email protected]> schrieb am Mi., 20. Feb. 2019, 03:56: > >> Hello,everyone: >> In the tesseract wiki " >> https://github.com/tesseract-ocr/tesseract/wiki/ImproveQuality";, it says >> the importance of binarisation to the final recognition result. I have >> tired many methods for choose a suitable threshold, but I have not find a >> very perfect method. >> Does anyone have the experience on choose a suitable threshold for >> binarisation,please teach me,thanks a lot. >> >> Sorry for my poor english. >> >> -- >> You received this message because you are subscribed to the Google Groups >> "tesseract-ocr" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to [email protected]. >> To post to this group, send email to [email protected]. >> Visit this group at https://groups.google.com/group/tesseract-ocr. >> To view this discussion on the web visit >> https://groups.google.com/d/msgid/tesseract-ocr/b0db5b19-386a-4d43-9506-7fb85801ef87%40googlegroups.com >> <https://groups.google.com/d/msgid/tesseract-ocr/b0db5b19-386a-4d43-9506-7fb85801ef87%40googlegroups.com?utm_medium=email&utm_source=footer> >> . >> For more options, visit https://groups.google.com/d/optout. >> > -- > You received this message because you are subscribed to the Google Groups > "tesseract-ocr" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To post to this group, send email to [email protected]. > Visit this group at https://groups.google.com/group/tesseract-ocr. > To view this discussion on the web visit > https://groups.google.com/d/msgid/tesseract-ocr/CADXFd_1tz1JhwfD%3DBb9VfP4gpz%3DH_G8nnuDtzpMz9rK7YsAfvw%40mail.gmail.com > <https://groups.google.com/d/msgid/tesseract-ocr/CADXFd_1tz1JhwfD%3DBb9VfP4gpz%3DH_G8nnuDtzpMz9rK7YsAfvw%40mail.gmail.com?utm_medium=email&utm_source=footer> > . > For more options, visit https://groups.google.com/d/optout. > -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/tesseract-ocr. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/CAMgOLLxevU0ZyuH7iTBehQUs_YyfnfWwLcUEZeZc0SP_mOJjEA%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
