Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/40748
Title: Closed-boundary extraction of cancer cells using fuzzy edge linking technique
Authors: Ling, WK
Tam, PKS
Keywords: Cancer
Simulations
Edge detection
Matrices
Sensors
Issue Date: 2002
Publisher: SPIE-International Society for Optical Engineering
Source: Proceedings of SPIE : the International Society for Optical Engineering, 2002, v. 4667, 323 How to cite?
Journal: Proceedings of SPIE : the International Society for Optical Engineering 
Abstract: Edge linking is an important task in a boundary extraction problem. In this paper, a fuzzy approach is proposed. The proposed system consists of a fuzzy edge detection module and a fuzzy edge linking module, respectively. The fuzzy edge detector gives a fuzzy membership matrix and an initial edge map. Once the initial edge map is obtained, the pairing of the start and end points of the edges as well as the linking of appropriate segments of edges in the map can be found using the fuzzy edge linking module, as follows: First, for any start point, the corresponding end point is found by searching for the shortest distance between the points. Second, for any start point as a reference point, we search for the greatest fuzzy membership value among its neighbors, and connect the reference point to that neighbor. Then with that neighbor as the new reference point, this step of searching is repeated until the end point is reached. After applying the above technique to all the pairs of start and end points, all the open boundaries will be connected. A simulation evaluation of the proposed technique was carried out on an image 'Cancer.' The simulation result shows an improvement on the outlines of the cancer cells. The proposed algorithm is simple and low cost, and can be implemented easily in some real-time applications.
Description: Conference on Image Processing : Algorithms and Systems, San Jose, CA, January 2002
URI: http://hdl.handle.net/10397/40748
ISSN: 0277-786X
EISSN: 1996-756X
DOI: 10.1117/12.467993
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

21
Last Week
1
Last month
Checked on Aug 14, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.