吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (5): 1704-1709.doi: 10.13229/j.cnki.jdxbgxb201605047

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Check of MR image edge information of lumber intervertebral disc using an improved Canny algorithm

LI Jian1,2, LI He-yu1,3, YAO Ru-jing1, WU Lin2,4   

  1. 1. College of Information Technology, Jilin Agricultural University, Changchun 130118,China;
    2.Bioinformatics Research Center of Jilin Province, Changchun 130118,China;
    3.Dean's office, Changchun Sci-Tech University, Changchun 130600,China;
    4.College of Horticulture, Jilin Agricultural University, Changchun 130118,China
  • Received:2015-05-21 Online:2016-09-20 Published:2016-09-20

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Abstract: In this paper, the Magnetic Resonance Images (MRIs) of lumbar disc are taken as the research objects, and the Canny edge detection algorithm is applied to extract the edge. To overcome the problem that the difference of the gray of the MRI edge is not obvious, enhance contrast and sharpening processing are used to process the image in advance. To solve the problem that in Canny algorithm Gaussian filter may lead to noise sensitivity, the Gaussian filter is replaced by an average filter to improve the performance of the Canny algorithm. Experimental results show that, compared with traditional algorithm, the noise of the image is reduced by 90% by using the improved Canny algorithm to detect MRI after enhancing the contrast.

Key words: information processing technology, image processing, edge extracting, Canny algorithm, mean filter, MR image

CLC Number: 

  • TN919
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