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International Conference on Bio-Inspired Computing: Theories and Applications

BIC-TA 2016: Bio-inspired Computing – Theories and Applications pp 314–335Cite as

Image Segmentation Using Membrane Computing: A Literature Survey

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 681))

Abstract

Membrane computing, a recent branch of natural computing, has been gaining momentum attention in the last few decades due to its massive parallelism and efficient computation. Many researchers in the field of membrane computing have proposed sophisticated techniques inspired by cell biology for computer science applications, especially when they considered cell organization in tissues, organs, and most recently, from the organization of neurons. The interdisciplinary applications of membrane computing include, but not limited to computer science, biology, biomedicine, bioinformatics and several other fields such as mathematics, artificial intelligence, automation, economics, to name but a few. Their applications are pertaining to computer graphics, approximate optimization, cryptography, parallel computing and image processing. Hence, in this paper we present an up to date comprehensive literature review pertaining to the application of membrane computing in the area of digital image analysis, especially image segmentation, comprehensively and systematically. We thoroughly investigate the recent advancement in the field of image segmentation using membrane system. Furthermore, we highlight the merits and demerits of various software tools and methods. Finally, we suggest some intuitive future directions in light of the current limitations.

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Acknowledgments

This work is partially supported by The Malaysian Ministry of Higher Education under the fundamental research grant scheme (4F802 and 4F786). The authors would like to thank the Research Management Centre (RMC), Universiti Teknologi Malaysia (UTM) for their support in R&D.

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Authors and Affiliations

  1. Faculty of Computing, Universiti Teknologi Malaysia, 81310, UTM Skudai, Johor, Malaysia

    Rafaa I. Yahya, Siti Mariyam Shamsuddin & Shafatnnur Hasan

  2. Department of Computer, College of Science, University of Al-Mustansiriyah, Baghdad, Iraq

    Rafaa I. Yahya

  3. UTM Big Data Center, Ibnu Sina Institute for Scientific and Industrial Research, Universiti Teknologi Malaysia, 81310, UTM Skudai, Johor, Malaysia

    Rafaa I. Yahya, Siti Mariyam Shamsuddin, Salah I. Yahya, Shafatnnur Hasan, Bisan Al-Salibi & Ghada Al-Khafaji

  4. Department of Software Engineering, Koya University, Kurdistan Region, Iraq

    Salah I. Yahya

  5. School of Computer Sciences, Universiti Sains Malaysia, USM, 11800, Gelugor, Penang, Malaysia

    Bisan Al-Salibi

  6. Department of Computer Science, College of Science, Baghdad University, Baghdad, Iraq

    Ghada Al-Khafaji

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  1. Rafaa I. Yahya
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  2. Siti Mariyam Shamsuddin
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  3. Salah I. Yahya
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  4. Shafatnnur Hasan
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  5. Bisan Al-Salibi
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  6. Ghada Al-Khafaji
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Corresponding author

Correspondence to Salah I. Yahya .

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Editors and Affiliations

  1. Xidian University, Xi’an, China

    Maoguo Gong

  2. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  3. China University of Petroleum, Qingdao, China

    Tao Song

  4. Faculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak Campus, Kuching, China

    Gexiang Zhang

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Yahya, R.I., Shamsuddin, S.M., Yahya, S.I., Hasan, S., Al-Salibi, B., Al-Khafaji, G. (2016). Image Segmentation Using Membrane Computing: A Literature Survey. In: Gong, M., Pan, L., Song, T., Zhang, G. (eds) Bio-inspired Computing – Theories and Applications. BIC-TA 2016. Communications in Computer and Information Science, vol 681. Springer, Singapore. https://doi.org/10.1007/978-981-10-3611-8_26

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