uncleflo
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OpenCV Tutorial 5
Saved by uncleflo on June 24th, 2012.
The first transform I will cover is Canny Edge Detection. The book describes Sobel and Laplace operators for gradient detection, for more technical details about their function please see the text. The Canny Edge Detection algorithm takes the derivative of an image to find the gradients, then determines the direction of these gradients (vertical, horizontal, diagonal up, diagonal down). Then if the amplitude of a given gradient is high enough (the high threshold), the algorithm will trace along that gradient in its direction until the amplitude falls below the low threshold, or the gradient changes direction sharply. The algorithm will also suppress local non-maximums around the edges. cvCanny implements this algorithm. The inputs are the two images to be used, the thresholds, and the aperature size of the convolution kernal. For this example I created two sliders that adjust the thresholds, try moving the sliders and see the effect of the thresholds on the resulting edges.
opencv solution canny algorithm detection technical edge gradient function user image
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