MA model of retina for edge detection & removing noise

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Presentation transcript:

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

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

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

Biological Systems Modeling Edge Detection (LoG) Biological Systems Modeling

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

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

Biological Systems Modeling

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