Application of Improved Canny Algorithm on the IC Chip pin Inspection

Abstract:

Machine vision is widely used in chip pin automation detection of defects, the accuracy of image edge extraction for detection result has very big effect. Canny edge detection algorithm is a kind of edge detection algorithm which have good comprehensive evaluation, but the Gaussian filter algorithm it used may cause image too smooth and fuzzy of the edge, and it is very sensitive for impulse noise. This paper discusses the improved methods of Canny, proposes an improved switch median filter algorithm, which is applied into Canny algorithm, makes the edge of IC Chip pin more complete and remove noise better.

• Periodical: Advanced Materials Research (Volumes 317-319)
• Pages: 854-858
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.317-319.854
• Online since: August 2011
• Authors: Ying Huang, Qi Pan, Qi Liu, Xin Peng He, Yun Feng Liu, Yong Quan Yu
• Keywords: Canny Algorithm, Edge Detection, IC Chip, Image Processing, Pin Inspection, Surface Mounted Technology (SMT), Switch Median Filter

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