NDLI: Tubule detection in testis images using boundary weighting and circular shortest path

Content Provider	IEEE Xplore Digital Library
Author	Chao Zhang Changming Sun Davey, R. Ran Su Bischof, L. Vallotton, P. Lovell, D. Hope, S. Lehnert, S. Pham, T.D.
Copyright Year	2013
Description	Author affiliation: CSIRO Math., Inf. & Stat., North Ryde, NSW, Australia (Changming Sun; Bischof, L.; Vallotton, P.) \|\| CSIRO Animal Food & Health Sci., Armidale, NSW, Australia (Davey, R.) \|\| Aizu Res. Cluster for Med. Eng. & Inf., Univ. of Aizu, Fukushima, Japan (Pham, T.D.) \|\| CSIRO Animal, Food & Health Sci., St. Lucia, QLD, Australia (Hope, S.; Lehnert, S.) \|\| Sch. of Eng. & Inf. Technol., Univ. of New South Wales, Canberra, ACT, Australia (Chao Zhang; Ran Su) \|\| CSIRO Math., Inf. & Stat., Acton, ACT, Australia (Lovell, D.)
Abstract	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.
Starting Page	3319
Ending Page	3322
File Size	1370751
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6610251
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transforms Image edge detection Australia Manuals Informatics Biology Image segmentation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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