Tubule detection in testis images using boundary weighting and circular shortest path
Zhang, C., Sun, C., Davey, R., Su, R., Bischof, L., Vallotton, P., Lovell, D. R., Hope, S., Lehnert, S., & Pham, T. D. (2013) Tubule detection in testis images using boundary weighting and circular shortest path. In Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, Osaka, Japan, pp. 3319-3322.
In studies of germ cell transplantation, measureing tubule diameters and counting cells from different populations using antibodies as markers are very important. Manual measurement of tubule sizes and cell counts is a tedious and sanity grinding work. In this paper, we propose a new boundary weighting based tubule detection method. We first enhance the linear features of the input image and detect the approximate centers of tubules. Next, a boundary weighting transform is applied to the polar transformed image of each tubule region and a circular shortest path is used for the boundary detection. Then, ellipse fitting is carried out for tubule selection and measurement. The algorithm has been tested on a dataset consisting of 20 images, each having about 20 tubules. Experiments show that the detection results of our algorithm are very close to the results obtained manually. © 2013 IEEE.
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|Item Type:||Conference Paper|
|Keywords:||Boundary detection, Circular shortest path, Detection methods, Ellipse fitting, Germ cells, Input image, Linear feature, Manual measurements, Algorithms, Image segmentation, Graph theory|
|ISBN:||1557170X (ISSN); 9781457702167 (ISBN)|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Deposited On:||07 Jan 2015 03:23|
|Last Modified:||19 Jan 2015 05:29|
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