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Content Provider | IEEE Xplore Digital Library |
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Author | Hui Wang Hong Zhang Ray, N. |
Copyright Year | 2011 |
Description | Author affiliation: Department of Computing Science University of Alberta, Edmonton, Alberta, Canada (Hui Wang; Hong Zhang; Ray, N.) |
Abstract | Under-segmentation of an image with multiple objects is a common problem in image segmentation algorithms. This paper presents a novel approach for the splitting of clumps formed by multiple objects due to under-segmentation. The algorithm includes two steps: finding a pair of points for clump splitting, and joining the pair of selected points. In the first step, a pair of points for splitting is detected using a bottleneck rule, under the assumption that the desired objects have roughly convex shape. In the second step, the selected pair of splitting points is joined by finding the optimal splitting line between them, based on minimizing an image energy. The performance of this method is evaluated using images from various applications. Experimental results show that the proposed approach has several advantages over existing splitting methods in identifying points for splitting as well as finding an accurate split line. |
Starting Page | 61 |
Ending Page | 64 |
File Size | 702356 |
Page Count | 4 |
File Format | |
ISBN | 9781457713040 |
ISSN | 15224880 |
e-ISBN | 9781457713033 |
e-ISBN | 9781457713026 |
DOI | 10.1109/ICIP.2011.6116627 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2011-09-11 |
Publisher Place | Belgium |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Image edge detection Shape Blood Image segmentation Cells (biology) Conferences Under-segmentation Clump Splitting Bottleneck |
Content Type | Text |
Resource Type | Article |
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