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Image Processing : Edge Detection

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IMAGE PROCESSING ? EDGE DETECTION In image processing, Edge Detection is a fundamental tool based on mathematical methods to detect points in a digital image at which there is a huge variation in the brightness between each other. These points are organized in a line of segments which is called edges. The purpose of detecting those variations is to help analyze an image in the following aspects: discontinuities in depth? discontinuities in surface orientation? changes in material properties? variations in scene illumination. In an ideal case, edge detection would form perfect lines of the image. This would help specialists to have a very good idea of the real image without need many data (detailed information). It would reduce time processing, and also it would filter information less relevant in the picture. 1 2 / 5 / 2 0 1 6 F i n a l _ P r o j e c t _ E d g e _ D e t e c t i o n _ P a b l o B e r z o i n i In the figure above the edge detection method was applied. It is possible to see all the relevant information for us in that image: a child holding a flower. The other information was lost, but it was not important for us. f i l e : / / / D : / M a i n / L a k e h e a d / E N G I 5 6 3 1 F A _ B i o m e d i c a l / P y t h o n N o t e b o o ks / S u b m i ss i o n s / F i n a l P r o j e c t s / I _ S o u z a / F i n a l _ P r o j e c t _ E d g e _ D e t e c t i o n _ P a b l o B e r z o i n i . h t m l 1 / 9 Edge Properties

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