Dual Transition Region Extraction based Colour Image Segmentation: Application to Fish Image Segmentation

Piyadarsan Parida; Nilamani Bhoi

Dual Transition Region Extraction based Colour Image Segmentation: Application to Fish Image Segmentation

Piyadarsan Parida * §

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Nilamani Bhoi

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Department of Electronics & Telecommunication Engine...

Dual Transition Region Extraction based Colour Image Segmentation: Application to Fish Image Segmentation

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CST16813

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Abstract

Image segmentation using transition region has been quiet effective in recent years due to its simplicity. Previous approaches using transition region only concentrate in segmentation of gray scale images. Colour image segmentation using transition region approach is a challenging task due to the increase in complexity involving various colour components. Here we have proposed a hybrid transition region approach for colour image segmentation. Two existing transition region based approaches: (i) Gabor based transition region approach and (ii) local variance based transition region approach are used to develop the proposed method. Initially, the R, G, B colour components are separated from the original image. Gabor based transition region approach is applied to segment the texture features from the image. The result of previous method is used as input to local variance based transition region approach for final object extraction from image. The proposed method works effectively on variety of images containing both single and multiple objects. The method is applied for fish image segmentation. Experimental results revel that the proposed method outperforms many existing approaches.

References

2 Cites in Article

Reference Format

Wolter Groenevelt,Carel Wagenaar (1988). An Askey-Wilson Algebra of Rank 2.
Chengxin Yan,Nong Sang,Tianxu Zhang (2003). Local entropy-based transition region extraction and thresholding.

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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

Piyadarsan Parida, Nilamani Bhoi. 2018. "Dual Transition Region Extraction based Colour Image Segmentation: Application to Fish Image Segmentation". Global Journal of Computer Science and Technology, Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 17 (GJCST Volume 17 Issue F3).

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GJCST Volume 17 Issue F3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

B.4.2

H.2.8

Submission ReceivedDecember 7, 2016
Peer Review Double Blind
Handling Editor
Accepted January 1, 2017
Published January 15, 2017

Version of record

v1.2

Issue date

January 17, 2018

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Piyadarsan Parida, Nilamani Bhoi (PhD/Dr. count: 0)

View Count (all-time): 388

Total Views (Real + Logic): 2779

Total Downloads (simulated): 183

Publish Date: 2017 01, Sun

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Total Views: 2.8K

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