A New Kind of Beer Bottle Mouth Defect Recognition Method Based on Vision

Yu Chan Xie

doi:10.4028/www.scientific.net/AMM.490-491.1465

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 490-491A New Kind of Beer Bottle Mouth Defect Recognition...

A New Kind of Beer Bottle Mouth Defect Recognition Method Based on Vision

Abstract:

According to the beer bottle mouth defect recognition problem on modern production line, a new recognition method based on the combination the Hough Transform and the Midpoint circle algorithm was put forward. Firstly, extract edge pixels on beer bottle mouth mage and transform them into Hough space, which was to draw circles at each pixel location with bottle mouth radius. According to the circular symmetry, only 1/8 circle pixels were needed to draw circles, which were worked out by the Midpoint Circle Algorithm. The circles there overlapped each other to vote. Secondly, took the position with the highest votes as the center of bottle mouth and determined the bottle circular area. Divided the area into regions. Finally, count out the number of image pixels in each region and recognition beer bottle defect. In this paper detailed implementation steps with detection results were given. Experiments and its analysis shows: the algorithm can recognition beer bottle mouth defect correctly and quickly.

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Periodical:

Applied Mechanics and Materials (Volumes 490-491)

Pages:

1465-1469

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.490-491.1465

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Online since:

January 2014

Authors:

Yu Chan Xie

Keywords:

Bottle Mouth Defect Recognition, Hough Transform (HT), Midpoint Circle Algorithm

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