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MA model of retina for edge detection & removing noise

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Presentation on theme: "MA model of retina for edge detection & removing noise"— Presentation transcript:

1 MA model of retina for edge detection & removing noise
Simplifying to apply MA model (feed forward only) Retina Biological Systems Modeling

2 Biological Systems Modeling
Edge Detection using first order derivatives using second order derivatives Biological Systems Modeling

3 Noise effect in Edge Detection
Result: noise filtering is required especially in second order derivatives Biological Systems Modeling

4 Biological Systems Modeling
Edge Detection (LoG) Biological Systems Modeling

5 Biological Systems Modeling
Edge Detection (LoG) A:Original image B:sobel gradient C:Gaussian smoothing D:Laplasian mask E:LoG F:Thresholding LoG G:Zero crossing Biological Systems Modeling

6 Resulting & MA modeling
Thus a simple neuron can apply like a LoG surrounding center Filter : So , because of non-positive Terms around the center , shading and overlapping between neurons can be removed. And each neuron have a Threshold function Biological Systems Modeling

7 Biological Systems Modeling


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