JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2018, Vol. 48 ›› Issue (2): 22-29.doi: 10.6040/j.issn.1672-3961.0.2017.067

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Color image selective segmentation under geometrical constraints

WANG Xueqin1,2, LI Shurong1, YU Yu1, WANG Jiayan1,2   

  1. 1.College of Information and Control Engineering, China University of Petroleum(East China), Qingdao 266580, Shandong, China;
    2. College of Electronic, Communication and Physics, Shandong University of Science and Technology, Qingdao 266590, Shandong, China
  • Received:2017-02-24 Online:2018-04-20 Published:2017-02-24

Abstract: In order to solve the specific requirements of selectivity during the course of color image segmentation, an active contour-based color image segmentation method under geometrical constraints was proposed based on the gray image selective segmentation using one level set by Lavdie-Chen. A color image was treated as a whole for the gradient and the edge detection function. The velocity and direction of the curve evolution were determined by the edge detection function, the distance function defined about a set of points near the boundary of the interested region and the inner and outer polygon areas of the given points. Region information could help to overcome the drawbacks of edge functions relying on a single image gradient; the regularization algorithm was introduced to overcome the shortcomings of the poor segmentation effect in the depression;the Euler-Lagrange equation was quickly solved by the additive operator splitting method. Experimental results showed that the proposed color image segmentation method had the characteristics of high validity and high accuracy to selectively segment the wanted region.

Key words: color image, edge detection function, selective segmentation, additive operator splitting method, Euler-Lagrange equation

CLC Number: 

  • TP391
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