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I have created an application that extracts the MSER data and stores it in a CvSeq*. I was wondering if there were any functions, or tutorials, in OpenCV that I could use to compare the data with another image using the extracted data of both images.

Thanks.

Seb
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1 Answers1

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The simplest implementation of MSER happens to be this one using the C API. There's another listing from the Google SoC here using the C++ API.

I guess your best way to compare results would be to implement the code in any of the above links. Comparing the results with Matlab is generally a good thing, as we can expect that to be a standard (more or less). VlFeat has a library with both C and Matlab interfaces that has MSER functions. The last link also has a brief explanation from where you might be able to understand which "data" to compare. What sort of comparison do you have in mind - if it's similarity between regions in two different images, then using a Gray level Co-occurrence Matrix (GLCM) of the regions should work. The MSER will give you the regions, but comparison may not require further data of MSER.

Did you use the OpenCV cvMSER() function btw, or code the entire thing?

AruniRC
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  • I've used OpenCV's MSER functions to extract the contour data in CvSeq* variables. Wasn't sure if OpenCV had any match functions that worked with contours. – Seb Aug 04 '11 at 12:48
  • there are, like Matching Moments etc. Also, you could get the `BoundingRect` of the CvSeq in a CvRect and then set the image ROI to that cvRect - essentially giving you the subimage corresponding to the MSER. Then the usual image matching techniques can be used (cf. above) – AruniRC Aug 04 '11 at 15:06