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A Novel Edge Detector for the Pressed Characters Based on the Facet Model and the Topographic Structures

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Abstract:

To improve the edge detecting effect of the pressed character, a novel method based on facet model and topographic structures is proposed. Firstly, the discrete gray scale image is approximated by a bivariate cubic function, then, the concerned features of the continuous function are computed to describe the discrete image. After every pixel in the image has been defined to Peak, Ridge, Saddle, Flat, Ravine, Pit or Hillside, the edge of the character is detected. To reduce the time in computing the coefficients of cubic function, an efficient separable algorithm is presented. In addition, an image enhancement method prior to edge detection is adopted to improve the detecting effect. The tests show that the proposed method is more suitable for complex edge detecting problems than common methods.

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Advances in Materials Manufacturing Science and Technology II View Preview

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Periodical:

Materials Science Forum (Volumes 532-533)

Pages:

113-116

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.532-533.113

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Online since:

December 2006

Authors:

Xue Yong Li, Chang Hou Lu, Jian Mei Li

Keywords:

Edge Detection, Facet Model, Pressed Characters, Topographic Structures

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© 2006 Trans Tech Publications Ltd. All Rights Reserved

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