Three-dimensional Image Segmentation using Tissue-like P System
Membrane computing (MC), which abstracts computational models from the structure and functioning of biological cells or population of cells in tissues, has served as a rich framework for handling many problems. Various types of P systems have been proposed in the literature to perform edge-based and...
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| Format: | Article |
| Language: | English |
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Koya University
2017-12-01
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| Series: | ARO-The Scientific Journal of Koya University |
| Subjects: | |
| Online Access: | http://aro.koyauniversity.org/article/view/316 |
| _version_ | 1797766361035833344 |
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| author | Salah I. Yahya Rafaa I. Yahya Bisan Al-Salibi Ghada K. Al-Khafaji Siti Mariyam Shamsuddin |
| author_facet | Salah I. Yahya Rafaa I. Yahya Bisan Al-Salibi Ghada K. Al-Khafaji Siti Mariyam Shamsuddin |
| author_sort | Salah I. Yahya |
| collection | DOAJ |
| description | Membrane computing (MC), which abstracts computational models from the structure and functioning of biological cells or population of cells in tissues, has served as a rich framework for handling many problems. Various types of P systems have been proposed in the literature to perform edge-based and region-based segmentation of two-dimensional digital images. However, less attention has been paid to the segmentation of three-dimensional (3D) medical images. Hence, the main contribution of this paper is to propose a tissue-like P system for segmenting 3D medical images. To the best of our knowledge, this is the first work that practically adapts MC for 3D images. Experimental results demonstrate the efficiency of the proposed approach in segmenting 3D images, and it has the potential to be used in real-world
applications. |
| first_indexed | 2024-03-12T20:24:11Z |
| format | Article |
| id | doaj.art-35591459dc6f43c4b1dc8795e69231a1 |
| institution | Directory Open Access Journal |
| issn | 2410-9355 2307-549X |
| language | English |
| last_indexed | 2024-03-12T20:24:11Z |
| publishDate | 2017-12-01 |
| publisher | Koya University |
| record_format | Article |
| series | ARO-The Scientific Journal of Koya University |
| spelling | doaj.art-35591459dc6f43c4b1dc8795e69231a12023-08-02T00:38:11ZengKoya UniversityARO-The Scientific Journal of Koya University2410-93552307-549X2017-12-0152677410.14500/aro.1031673Three-dimensional Image Segmentation using Tissue-like P SystemSalah I. Yahya0Rafaa I. Yahya1Bisan Al-Salibi2Ghada K. Al-Khafaji3Siti Mariyam Shamsuddin41- Department of Software Engineering, Faculty of Engineering, Koya University, Danielle Mitterrand Boulevard, Koya KOY45, Kurdistan region – F.R. Iraq. 2- Department of Computer Science and Engineering, School of Science and Engineering, University of Kurdistan Hewler, Erbil, Kurdistan region – F.R. Iraq, 3- UTM Big Data Center, Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia, UTM Skudai, Malaysia1- Department of Computer, Collage of Science, MustansiriyahUniversity, Baghdad, Iraq. 2- UTM Big Data Center, Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia, UTM Skudai, Malaysia.UTM Big Data Center, Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia, UTM Skudai1- Department of Computer, College of Science, University of Baghdad, Baghdad, Iraq. 2- UTM Big Data Center, Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia, UTM Skudai, MalaysiaUTM Big Data Center, Ibnu Sina Institute for Scientific and Industrial Research. Universiti Teknologi Malaysia, UTM SkudaiMembrane computing (MC), which abstracts computational models from the structure and functioning of biological cells or population of cells in tissues, has served as a rich framework for handling many problems. Various types of P systems have been proposed in the literature to perform edge-based and region-based segmentation of two-dimensional digital images. However, less attention has been paid to the segmentation of three-dimensional (3D) medical images. Hence, the main contribution of this paper is to propose a tissue-like P system for segmenting 3D medical images. To the best of our knowledge, this is the first work that practically adapts MC for 3D images. Experimental results demonstrate the efficiency of the proposed approach in segmenting 3D images, and it has the potential to be used in real-world applications.http://aro.koyauniversity.org/article/view/316membrane computingregion-based image segmentationthree-dimensional imagestissue-like p systems |
| spellingShingle | Salah I. Yahya Rafaa I. Yahya Bisan Al-Salibi Ghada K. Al-Khafaji Siti Mariyam Shamsuddin Three-dimensional Image Segmentation using Tissue-like P System ARO-The Scientific Journal of Koya University membrane computing region-based image segmentation three-dimensional images tissue-like p systems |
| title | Three-dimensional Image Segmentation using Tissue-like P System |
| title_full | Three-dimensional Image Segmentation using Tissue-like P System |
| title_fullStr | Three-dimensional Image Segmentation using Tissue-like P System |
| title_full_unstemmed | Three-dimensional Image Segmentation using Tissue-like P System |
| title_short | Three-dimensional Image Segmentation using Tissue-like P System |
| title_sort | three dimensional image segmentation using tissue like p system |
| topic | membrane computing region-based image segmentation three-dimensional images tissue-like p systems |
| url | http://aro.koyauniversity.org/article/view/316 |
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