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Band Segmentation and Detection of DNA by Using Fast Fuzzy C-mean and Neuro Adaptive Fuzzy Inference System

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Smart City and Informatization (iSCI 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1122))

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Abstract

Currently, band segmentation is used in medical science, because it helps the scientist to detect and calculate the band and line respectively. Segmentation is very important in medical images, because it provides the clinical assistance to physician. Such as, the DNA images are used to detect and segment the bands and line and calculate the local minima and maxima. For segmentation, we use Fast Fuzzy C-Mean Clustering (FFCM). FFCM is a clustering method that allows a piece of data to be in two or more clusters. Clustering involves the task of dividing the data points into homogeneous classes or the clusters, so that items in the same class are as equitable as possible and the items in the different classes are different. Our results indicate that our proposed method effectively detects the band and counts the lines.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China under Grant 61632009, in part by the Guangdong Provincial Natural Science Foundation under Grant 2017A030308006, and in part by the High-Level Talents Program of Higher Education in Guangdong Province under Grant 2016ZJ01.

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Authors and Affiliations

  1. School of Computer Science, Guangzhou University, Guangzhou, 510006, Guangdong, China

    Muhammad Arif, Guojun Wang & Shuhong Chen

  2. Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

Authors
  1. Muhammad Arif
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  2. Guojun Wang
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  3. Valentina Emilia Balas
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  4. Shuhong Chen
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Corresponding author

Correspondence to Guojun Wang .

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Editors and Affiliations

  1. Guangzhou University, Guangzhou, China

    Guojun Wang

  2. University of Ottawa, Ottawa, ON, Canada

    Abdulmotaleb El Saddik

  3. Shanghai Jiao Tong University, Shanghai, China

    Xuejia Lai

  4. University of Murcia, Murcia, Spain

    Gregorio Martinez Perez

  5. The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

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Arif, M., Wang, G., Balas, V.E., Chen, S. (2019). Band Segmentation and Detection of DNA by Using Fast Fuzzy C-mean and Neuro Adaptive Fuzzy Inference System. In: Wang, G., El Saddik, A., Lai, X., Martinez Perez, G., Choo, KK. (eds) Smart City and Informatization. iSCI 2019. Communications in Computer and Information Science, vol 1122. Springer, Singapore. https://doi.org/10.1007/978-981-15-1301-5_5

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  • DOI: https://doi.org/10.1007/978-981-15-1301-5_5

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  • Print ISBN: 978-981-15-1300-8

  • Online ISBN: 978-981-15-1301-5

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