Texture segmentation from non-textural background using enhanced MTC
Joint Authors
Rafi, Muddaththir
Mukhopadhyay, Susanta
Source
The International Arab Journal of Information Technology
Issue
Vol. 16, Issue 4 (31 Jul. 2019)9 p.
Publisher
Publication Date
2019-07-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
In image processing, segmentation of textural regions from non-textural background has not been given a significant attention, however, considered to be an important problem in texture analysis and segmentation task.
In this paper, we have proposed a new method, which fits under the framework of mathematical morphology.
The entire procedure is based on recently developed textural descriptor termed as Morphological Texture Contrast (MTC).
In this work authors have employed the bright and dark top-hat transformations to handle the bright and dark features separately.
Both bright and dark features so extracted are subjected to MTC operator for identification of the texture components which in turn are used to enhance the textured parts of the original input image.
Subsequently, our method is employed to segment the bright and dark textured regions separately from the two enhanced versions of the input image.
Finally, the partial segmentation results so obtained are combined to constitute the final segmentation result.
The method has been formulated, implemented and tested on benchmark textured images.
The experimental results along with the performance measures have established the efficacy of the proposed method.
American Psychological Association (APA)
Rafi, Muddaththir& Mukhopadhyay, Susanta. 2019. Texture segmentation from non-textural background using enhanced MTC. The International Arab Journal of Information Technology،Vol. 16, no. 4.
https://search.emarefa.net/detail/BIM-854980
Modern Language Association (MLA)
Rafi, Muddaththir& Mukhopadhyay, Susanta. Texture segmentation from non-textural background using enhanced MTC. The International Arab Journal of Information Technology Vol. 16, no. 4 (Jul. 2019).
https://search.emarefa.net/detail/BIM-854980
American Medical Association (AMA)
Rafi, Muddaththir& Mukhopadhyay, Susanta. Texture segmentation from non-textural background using enhanced MTC. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 4.
https://search.emarefa.net/detail/BIM-854980
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-854980