title: Detection of tubule boundaries based on circular shortest path and polar-transformation of arbitrary shapes.
abstract: In studies of germ cell transplantation, counting cells and measuring tubule diameters from different populations using labelled antibodies are important measurement processes. However, it is slow and sanity grinding to do these tasks manually. This paper proposes a way to accelerate these processes using a new image analysis framework based on several novel algorithms: centre points detection of tubules, tubule shape classification, skeleton-based polar-transformation, boundary weighting of polar-transformed image, and circular shortest path smoothing. The framework has been tested on a dataset consisting of 27 images which contain a total of 989 tubules. Experiments show that the detection results of our algorithm are very close to the results obtained manually and the novel approach can achieve a better performance than two existing methods.
authors.affiliation: School of Computer Software, Tianjin University, China.
authors.forename: R
authors.initials: R
authors.lastname: Su
authors.affiliation: CSIRO Data61, Epping, NSW, Australia. kone.zhang@gmail.com.|School of Engineering and Information Technology, The University of New South Wales, Canberra, ACT, Australia. kone.zhang@gmail.com.
authors.forename: C
authors.initials: C
authors.lastname: Zhang
authors.affiliation: Department of Biomedical Engineering, Linköping University, Linköping, Sweden.
authors.forename: T D
authors.initials: TD
authors.lastname: Pham
authors.affiliation: CSIRO Food and Nutrition, Armidale, NSW, Australia.
authors.forename: R
authors.initials: R
authors.lastname: Davey
authors.affiliation: CSIRO Data61, Epping, NSW, Australia.
authors.forename: L
authors.initials: L
authors.lastname: Bischof
authors.affiliation: CSIRO Data61, Epping, NSW, Australia.
authors.forename: P
authors.initials: P
authors.lastname: Vallotton
authors.affiliation: CSIRO Data61, Acton, ACT, Australia.
authors.forename: D
authors.initials: D
authors.lastname: Lovell
authors.affiliation: CSIRO Food and Nutrition, St. Lucia, Qld, Australia.
authors.forename: S
authors.initials: S
authors.lastname: Hope
authors.affiliation: CSIRO Food and Nutrition, Armidale, NSW, Australia.
authors.forename: S
authors.initials: S
authors.lastname: Schmoelzl
authors.affiliation: CSIRO Data61, Epping, NSW, Australia.
authors.forename: C
authors.initials: C
authors.lastname: Sun
keywords: Boundary detection; boundary weighting; circular shortest path; polar-transform; testis images; tubule boundary