Texture Image Segmentation using Morphology in Wavelet Transforms

V Vijaya Kumar
V Vijaya Kumar * §
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§ Anurag Group of Institutions, Hyderabad, India

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Texture Image Segmentation using Morphology in Wavelet Transforms

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Abstract

One of the essential and crucial steps for image understanding, interpretation, analysis and recognition is the image segmentation. This paper advocates a new segmentation scheme using morphology on wavelet decomposed images. The present paper provides a good segmentation on natural images and textures by dividing an image into non overlapping regions, which are homogenous in terms of certain features such as texture, spatial coordinates etc. using simple morphological operations. Morphological enhancement technique based on Top Hat transforms enhances the local contrast in this paper. The morphological treatment and followed by Otsu’s threshold overcomes the problem of noise and thin gaps, and also smooth the final regions. The experimental results on four different databases demonstrate the success of the proposed method, compared to many other methods.

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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

V Vijaya Kumar. 2017. "Texture Image Segmentation using Morphology in Wavelet Transforms". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 17 (GJCST Volume 17 Issue F1).

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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
GJCST-F Classification I.3.3
I.4.0
I.4.6
  • Submission ReceivedDecember 12, 2016
  • Peer Review Double Blind
    Handling Editor
  • Accepted January 4, 2017
  • Published January 15, 2017
Version of record

v1.2

Issue date
April 4, 2017

Language
English
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Texture Image Segmentation using Morphology in Wavelet Transforms

V Kumar
V Kumar Anurag Group of Institutions, Hyderabad, India
V Kumar
V Kumar
  • Submission ReceivedDecember 12, 2016
  • Peer Review Double Blind
    Handling Editor
  • Accepted January 4, 2017
  • Published January 15, 2017