Sub-pixel edge location algorithm for bilevel images |
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Authors: | Donghong Hu Michitaka Kameyama Xinmeng Chen Ling Zhang Lang Li |
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Institution: | 1.School of Physics and Electronic Technology,Hubei University,Wuhan,Hubei, China;2.Graduate School of Information Sciences,Tohoku University,Sendai,Miyagi, Japan;3.School of Computer,Wuhan University,Wuhan,Hubei, China |
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Abstract: | Accurate edge localization of bilevel images is of primary importance in barcode decoding. In the sub-pixel edge location
algorithm for bilevel images, the bilevel image (barcode) imaging process is modeled as a square wave convoluted with a Gaussian
kernel and then sampled discretely by pixel arrays. Based on the gray levels of the pixels, assumed sub-pixel edge locations
are set and adjusted so that the discrepancy of the theoretical gray level of pixels and the actual gray level of pixels reaches
the minimum and then the best approximation of the actual sub-pixel edges of the bilevel image is obtained. Examples are presented
to illustrate the techniques of the algorithm which can solve the problems of edge location or signal recovery of bilevel
images in the case of the two features: one is that the support of the Gaussian kernel is comparable to the distance of the
adjacent edges; the other is that the distance between the adjacent edges is comparable to the distance of the adjacent pixels. |
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Keywords: | |
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