<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40"><head><meta http-equiv=Content-Type content="text/html; charset=us-ascii"><meta name=Generator content="Microsoft Word 12 (filtered medium)"><style><!--
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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple><div class=WordSection1><p class=MsoNormal>Hello everybody<o:p></o:p></p><p class=MsoNormal>At last I could find some free time to finish the porting of a semi-automatic color calibration algorithm as a SSL-Vision plug-in. It’s based on a MLP Neural Network, a sort of commonly used solution for color calibration.<o:p></o:p></p><p class=MsoNormal>Would be great to know if works well and if it’s useful. If there’s demand, then we can incorporate this on the source code’s repository. <o:p></o:p></p><p class=MsoNormal>Please take a look and share feedback. I uploaded a tar.gz file with the source on the downloads section of the SSL-Vision project at code.google.com (also feel free to email me if you don’t have access to this website and I’ll email the file)<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>This new and the existing, manual color calibration plug-in, can coexist side-by-side without any trouble. The only requirement added by the new plug-in is the presence of the OpenCV 1.0 ML library.<o:p></o:p></p><p class=MsoNormal>The usage is simple:<o:p></o:p></p><p class=MsoListParagraph style='margin-left:.75in;text-indent:-.5in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='mso-list:Ignore'>(i)<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]>capture some examples of each color, 4 or 5 samples are enough <o:p></o:p></p><p class=MsoListParagraph style='margin-left:.75in;text-indent:-.5in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='mso-list:Ignore'>(ii)<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]>click train network<o:p></o:p></p><p class=MsoListParagraph style='margin-left:.75in;text-indent:-.5in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='mso-list:Ignore'>(iii)<span style='font:7.0pt "Times New Roman"'> </span></span><![endif]>click load neural to LUT<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>** Tks to Danial Esmaeli for providing a SOM network code, which I still intend to port and try it for a fully auto calibration :-) <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Regards to you all<o:p></o:p></p><p class=MsoNormal>Angelo<o:p></o:p></p></div></body></html>