吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (5): 1591-1597.doi: 10.13229/j.cnki.jdxbgxb201705035

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Medical image segmentation algorithm based on multi-scale region growing

XIAO Ming-yao1, 2, LI Xiong-fei2, ZHANG Xiao-li2, ZHANG Liu3   

  1. 1.College of Computer Science and Technology, Changchun Normal University, Changchun 130032, China;
    2.College of Computer Science and Technology, Jilin University, Changchun 130012,China;
    3.College of Instrumentation & Electrical Engineering, Jilin University,Changchun 130061,China
  • Received:2016-01-22 Online:2017-09-20 Published:2017-09-20

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Abstract: Considering the characteristics of medical images, a multi-scale region growing segmentation algorithm is proposed. First, the original image is smoothed by a Gaussian filter. Then, the region growing segmentation is performed on both the original image and the smoothed image. Finally, the two obtained segmentation maps are compared to get the final segmentation. In the process of region growing segmentation, a pixel in the background region is selected as the initial seed for region growing. The advantages of the proposed algorithm are the robustness to noises and easiness of initial seed selection. This method is also suitable to other segmentation applications, in which background region is simple but target region is complex. In order to select an appropriate threshold, the concept of Maximum Gradient Transform (MGT) is proposed. The issue of threshold selection is converted into a minimization problem with the assistance of the statistical properties of the transformation matrix. Experiment results show that the proposed algorithm can obtain accurate medical image segmentation results.

Key words: computer application, medical image segmentation, region growing, multi-scale, gradient

CLC Number: 

  • TP391
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