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Basically I need to extract the identification number of marathon runners from the image. Till now I was able to get the bib part alone from the whole image. Now I need to extract the numbers from that image:
I need to extract 1430 from the image. I have tried some methods like OCR and blob detection techniques but they are not successfull for all images.
Have you tried using Stroke Width Transform (SWT)? You can find a Matlab implementation of the first stages of SWT here.
Take a look at this example in the Computer Vision System Toolbox.
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I surf the web for HOF implementation in matlab or openCV. Actually I wanted to know how to write their code in matlab. I learned something from the link bellow about HOG but I cannot find the same proper link for HOF or MBH. Is there any syntax for HOF in openCV?
http://www.learnopencv.com/histogram-of-oriented-gradients/
I dont know about OpenCV, but find matlab implementations here.
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what is the efficient way to create movie clip of 1 minute graph evolution ( quality is not an issue) that will take the lowest amount of disk space?
Any modern video (distribution) codec will produce a very small file in this case, if it is fed with standard parameters. So you will be on a good way if you just create e.g. a H.264 clip in MP4 file format. The only tweaking option that makes sense in that case is the GOP size, but that makes seeking in the file slightly harder for the player.
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I wondered if the following picture can be reconstructed programmatically:
It seems it has some features of an Apollonian Gasket (see https://en.wikipedia.org/wiki/Apollonian_gasket) but also includes other pattern which I don't recognise.
Any ideas?
This picture is made with open source software Apophysis. It is a so called fractal flame - fractal structure made with ifs (iteration functions system).
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Ive been researched Information Visualization techniques application to image collections. I need some image datasets with features. Ideally, would be good find a dataset in a file representing each image attributes value,like this https://archive.ics.uci.edu/ml/datasets/Corel+Image+Features so I could project on my software, but it has been too hard to find, so I am trying to work with matlab algorithms to extract the features. So, I want some datasets.
Here you can find the ImageCLEF 2013 dataset with different features: GIST, Color Histograms, SIFT, C-SIFT, RGB-SIFT and OPPONENT-SIFT.
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I have tried manual detection using LS polynomial fitting here. But that cannot be used in my project as mine has to be a fully automated system.
Take a look at the Scale-Invariant Feature Transform, or SIFT. This video explains it well. You "train" a detector with one or more images of eyelids, and the detector locates similar regions in the input images. It's the de facto general purpose feature detector - although more specialized tools like face detectors are faster.
The "Scale-Invariant" part means that it can detect the same object at different sizes and rotations.