DocumentCode :
3457929
Title :
Research on the Segmentation of Zebrafish Image Based on Geometric Active Contour Model
Author :
Wu, Tao ; Lu, Jianfeng
Author_Institution :
Coll. of Comput., Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear :
2010
fDate :
21-23 Oct. 2010
Firstpage :
1
Lastpage :
5
Abstract :
The segmentation of zebrafish image is an important step for the processing and analysis of zebrafish image, due to the feature of uneven intensities and weak boundary in zebrafish images, general segmentation methods may result in missing part object or inexact segmentation, but active contour model can evolve enclosed active curve towards boundary automatically, which is easy to get the whole contour. In this paper, considering the features of zebrafish image, active contour model is introduced to segment the zebrafish images, and two different modes are described in detail based on this model, which are the mode based on boundary information and the mode based on mixture of the boundary and area information, and both these two modes can obtain satisfactory segmentation results in the experiments.
Keywords :
computational geometry; image segmentation; Zebrafish Image Segmentation; geometric active contour model; image analysis; image processing; inexact segmentation; missing part object; uneven intensities; Active contours; Analytical models; Biomedical imaging; Computational modeling; Data visualization; Genetics; Image segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-7209-3
Electronic_ISBN :
978-1-4244-7210-9
Type :
conf
DOI :
10.1109/CCPR.2010.5659240
Filename :
5659240
Link To Document :
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