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Jiangxi Nonferrous Metals Society
ISSN：1674-9669
CN：36-1311/TF
CODEN YJKYA9
Volume 4 Issue 5
Oct.  2013
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LIN Shou-guang, XIAO Ling-ling. Application of a fast Susan algorithm to preliminary tungsten processing[J]. Nonferrous Metals Science and Engineering, 2013, 4(5): 122-126. DOI: 10.13264/j.cnki.ysjskx.2013.05.005
Citation: LIN Shou-guang, XIAO Ling-ling. Application of a fast Susan algorithm to preliminary tungsten processing[J]. Nonferrous Metals Science and Engineering, 2013, 4(5): 122-126. DOI: 10.13264/j.cnki.ysjskx.2013.05.005
shu

Application of a fast Susan algorithm to preliminary tungsten processing

  • 1.

    Faculty of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China

  • 2.

    Meizhouwan Vocational Technology College, Putian 351254, China

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  • Received Date: December 26, 2012
  • Published Date: October 30, 2013
    Graphical Abstract
    • Abstract
  • This paper proposes an improved SUSAN algorithm to improve the tungsten ore processing rate and qualification rate in the preliminary tungsten process. Based on SUSAN algorithm, the method of selecting adaptive threshold t and rapid extracting is put forward by using unique color and textural characteristics of wolframite image.The method is realized by VC ++ programming which is finally applied to edge detection extraction of tungsten ore image. Experiments show that image edge detection has advantages of high accuracy and fast operation. In comparison with the previous method, this method improves the calculation speed by improving the detection results. It has practical significance for the preliminary tungsten processing.
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    • References (15)
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