Lateral Inhibition: optical illusions using openCv

On October 16, 2011, in Computer Vision and IP, Research, by Amiya

For people working in computer vision, openCv is godsend. The following is code implementation for creating an optical illusion. This involves creating a pencil sketch and some more simple filtering application. Check out the illusion here.

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Lateral Inhibition: create your own optical illusions!

On October 16, 2011, in Blog, Computer Vision and IP, Entertainment, Research, Technology, by Amiya

Before I say anything about the illusion let me ask you to take a look at it. What do you see? You may be able to see something faintly if you try really hard or if you know what you are looking for. Click on the image to reveal the hidden picture. The illusion is really cool.

Robust Detection of Microaneurysms for Sight Threatening Retinopathy Screening

On December 16, 2008, in Computer Vision and IP, Machine Learning, Research, by Amiya

This is the work I did in my third year summer internship at the University of Warwick under the guidance of Under Dr. Abhir Bhalerao, Dr S. S. Anand. The work got published in a IEEE conference and also got the best paper special mention award 🙂 The work was completed in 10 weeks time. Warwick was […]

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Automated Mosaicing of Torn Paper Documents

On August 28, 2008, in Computer Vision and IP, Research, by Amiya

This was a joint project between me and Sukadeb for a competition held in an IEEE conference. Ideas and hints were given by Dr. Abhir (CS department Warwick Univ UK). Spend a good deal of time on it hardly realizing that we were competing against research giants like Microsoft, GE and BHEL (BHEL got the prize BTW) […]

Automated License Plate Recognition

On October 15, 2007, in Computer Vision and IP, Research, Soft Computing, by Amiya

Again this is a term project for Soft computing course. The results were actually amazing considering I never understood how it worked 😉 I guess that is how neural nets are…You only know how to train them and control the learning parameters and apply regularization. But once trained the net is nothing more than a […]

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