Abstract
Seeded image segmentation is a popular type of supervised image segmentation in computer vision and image processing. Previous methods of seeded image segmentation treat the image as a weighted graph and minimize an energy function on the graph to produce a segmentation. In this paper, we propose to conduct the seeded image segmentation according to the result of a heat diffusion process in which the seeded pixels are considered to be the heat sources and the heat diffuses on the image starting from the sources. After the diffusion reaches a stable state, the image is segmented based on the pixel temperatures. It is also shown that our proposed framework includes the RandomWalk algorithm for image segmentation as a special case which diffuses only along the two coordinate axes. To better control diffusion, we propose to incorporate the attributes (such as the geometric structure) of the image into the diffusion process, yielding an anisotropic diffusion method for image segmentation. The experiments show that the proposed anisotropic diffusion method usually produces better segmentation results. In particular, when the method is tested using the groundtruth dataset of Microsoft Research Cambridge (MSRC), an error rate of 4.42% can be achieved, which is lower than the reported error rates of other state-of-the-art algorithms.
Original language | English |
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Title of host publication | 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010 |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 2125-2132 |
Number of pages | 8 |
ISBN (Print) | 9781424469840 |
DOIs | |
Publication status | Published - 2010 |
Externally published | Yes |
Event | IEEE Conference on Computer Vision and Pattern Recognition 2010 - San Francisco, United States of America Duration: 13 Jun 2010 → 18 Jun 2010 https://ieeexplore.ieee.org/xpl/conhome/5521876/proceeding (Proceedings) |
Conference
Conference | IEEE Conference on Computer Vision and Pattern Recognition 2010 |
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Abbreviated title | CVPR 2010 |
Country/Territory | United States of America |
City | San Francisco |
Period | 13/06/10 → 18/06/10 |
Internet address |