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Building machines that see: Finding edges in images

Eric Gregori, BDTI 5/9/2012 4:11 PM EDT With the emergence of increasingly capable low-cost processors and image sensors, its becoming practical to incorporate computer vision capabilities into a wide range of embedded systems, enabling them to analyze their environments via image and video inputs. Then, after explaining edge detection from an algorithmic perspective, we show how to use OpenCV, a free open-source computer vision software component library, to quickly implement application software incorporating edge detection. If you graph the values of a single row of pixels containing an edge, the strength of the edge is shown by slope of the line in the graph. Grayscale soft edge Figure 2 above and Figure 3 below represent eight pixels from two different parts of a grayscale image.

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May 10, 2012 May 13, 2012 EE Times via Google News Applications MachineLearning Vision NewsFinder Text English HTML

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