NDLI: Segmentation of mechanical images using improved active contour model

Content Provider	IEEE Xplore Digital Library
Author	Jinyong Cheng Ruojuan Xue Yihui Liu Wenpeng Lu
Copyright Year	2008
Description	Author affiliation: Sch. of Inf. Sci. & Technol., Shandong Inst. of Light Ind., Jinan (Jinyong Cheng)
Abstract	An approach to boundaries of mechanical images using active contour model was discussed. Active contour model is used widely in image segmentation. Traditional snake model has poor convergence to concave boundaries. GVF snake model solves the problem, but it has some deficiencies such as it can not capture boundaries like U and bottleneck completely because of the counteraction of some external force and the influence of the local minimum external force. In this paper, an additional control force is added to GVF snake model. The direction of control force is gained by tracking the motion of snake's control points. Experimentation results show that the improved snake model can solve the problem that GVF snake model can not detect the boundaries like U and bottleneck and the new algorithm can improve GVF snake model's ability to capture thin boundary indentation.
Starting Page	1
Ending Page	4
File Size	487221
Page Count	4
File Format	PDF
ISBN	9781424417056
DOI	10.1109/ICIT.2008.4608645
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Force Convergence Pixel Active contours Signal processing algorithms Shape Mathematical model
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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