Projecting Active Contours with Diminutive Sequence Optimality

Projecting Active Contours with Diminutive Sequence Optimality

D. Baswaraj

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Dr. A. Govardhan

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Dr. P. Premchand

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Jawaharlal Nehru Technological University, Hyderabad

Projecting Active Contours with Diminutive Sequence Optimality

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Abstract

Active contours are widely used in image segmentation. To cope with missing or misleading features in image frames taken in contexts such as spatial and surveillance, researchers have commence various ways to model the preceding of shapes and use the prior to constrict active contours. However, the shape prior is frequently learnt from a large set of annotated data, which is not constantly accessible in practice. In addition, it is often doubted that the existing shapes in the training set will be sufficient to model the new instance in the testing image. In this paper we propose to use the diminutive sequence of image frames to learn the missing contour of the input images. The central median minimization is a simple and effective way to impose the proposed constraint on existing active contour models. Moreover, we extend a fast algorithm to solve the projected model by using the hastened proximal method. The Experiments done using image frames acquired from surveillance, which demonstrated that the proposed method can consistently improve the performance of active contour models and increase the robustness against image defects such as missing boundaries.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

D. Baswaraj. 2013. \u201cProjecting Active Contours with Diminutive Sequence Optimality\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F8).

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GJCST Volume 13 Issue F8

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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Submission ReceivedDecember 13, 2012
Peer Review Double Blind
Handling Editor
Accepted January 3, 2013
Published January 15, 2013

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v1.2

Issue date

November 26, 2013

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Article Matrices

Total Score: 113

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: D. Baswaraj, Dr. A. Govardhan, Dr. P. Premchand (PhD/Dr. count: 2)

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