Paper Info
Title
Tubule detection in testis images using boundary weighting and circular shortest path.
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.
Year
DOI
Venue
2013
10.1109/EMBC.2013.6610251
EMBC
Keywords
Field
DocType
ellipse fitting,cellular biophysics,boundary weighting transform,germ cell transplantation,cell counting,testis images,boundary detection,edge detection,circular shortest path,boundary weighting based tubule detection method,biological organs,medical image processing,biology,informatics,image segmentation
Graph theory,Computer vision,Weighting,Shortest path problem,Computer science,Edge detection,Image segmentation,Artificial intelligence,Ellipse,Transplantation,Tubule
Conference
Volume
ISSN
Citations 
2013
1557-170X
0
PageRank 
References 
Authors
0.34
4
10
Name
Order
Citations
PageRank
Chao Zhang182.73
Changming Sun289588.21
Rhonda Davey300.34
Ran Su491.18
Leanne Bischof500.68
Pascal Vallotton6479.22
David Lovell7246.37
Shelly Hope800.34
Sigrid A Lehnert9252.52
Tuan D Pham1000.34