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Questions tagged [mser]

In computer vision, maximally stable extremal regions (MSER) are used as a method of blob detection in images.

This technique is used to find correspondences between image elements from two images with different viewpoints. This method of extracting a comprehensive number of corresponding image elements contributes to the wide-baseline matching, and it has led to better stereo matching and object recognition algorithms.

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MSER on Videotracking

I've a time problem. I have programmed a qt Gui for imageprocessing. For this case it would be relevant to implement blobdectetors for videoprocessing and object tracking. Principally it looks good. It uses with GUI behind processing, grabbing, mser…
Ingeborg
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Estimate good parameters for Algorithms with lots of arguments (Like for MSER in OpenCV)

I was wondering if there is a better way to estimate a good set of parameters for algorithms with lots of arguments than just randomly picking them. In detail I am trying to find some good parameters for the MSER Feature Detector which consumes 9…
Hans Sperker
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My implementation of mser is not detecting text area correctly, what should i do?

I am a beginner in OpenCV, and am trying to extract numbers from a dataset of images and use the extracted numbers as a dataset for NN. For this, I'm using mser's bounding boxes and then cropping the image in size of the bounding box. but mser is…
Rakshil Kevadiya
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