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April 2013 Embedded Vision Summit Technical Presentation: "Finding Objects Using Canny Edge Detection," Eric Gregori, BDTI

Eric Gregori, senior software engineer and embedded vision specialist at BDTI, presents the "Finding Objects Using Canny Edge Detection" tutorial within the "Using Vision Algorithms" technical session at the April 2013 Embedded Vision Summit. This presentation dives into the Canny edge detection algorithm; how it works and how to use it. Topics include a Canny algorithm walk through, connecting edges with contours, and classifying contours with mathematical models. Finally, the topics learned are applied to describe a system for counting dots on dice.

Eric Gregori
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If you are interested in learning more about the Canny edge detector, check out this article:

http://www.embedded-vision.com/platinum-members/bdti/embedded-vision-training/documents/pages/building-machines-see-finding-edges-i

If you are interested in experimenting with the Canny edge detector, please download the BDTI OpenCV demo executable:

http://www.embedded-vision.com/platinum-members/bdti/embedded-vision-training/downloads/pages/introduction-computer-vision-using-op

For more information about the BDTI Dice Dot Counting Algorithm running on the Analog Device BF609, go here:

http://finboard.org/sites/default/files/design/BDTI_Dice_Dot_Counting_Demo_and_Reference_Design_Software_Users_Guide_fi%20%20%20.pdf

For more information about the Finboard or the Analog Devices BF609, go here: http://finboard.org/