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Adaptive fuzzy contrast factor enhancement technique for low contrast and nonuniform illumination images

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Abstract

This paper presents a new enhancement technique using the fuzzy set theory for low contrast and nonuniform illumination images. A new parameter called the contrast factor which will provide information on the difference among the gray-level values in the local neighborhood is proposed. The contrast factor is measured by both local and global information to ensure that the fine details of the degraded image are enhanced. This parameter is used to divide the degraded image into bright and dark regions. The enhancement process is applied on gray-scale images wherein the modified Gaussian membership function is employed. The process is performed separately according to the image’s respective regions. The performance of the proposed method is comparable with other state-of-the-art techniques in terms of processing time. The proposed method exhibits the best performance and defeats other methods in terms of preserving brightness and details without amplifying existing noises.

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Author information

Authors and Affiliations

  1. Imaging and Intelligent System Research Team (ISRT), School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300, Nibong Tebal, Penang, Malaysia

    Khairunnisa Hasikin & Nor Ashidi Mat Isa

  2. Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603, Lembah Pantai, Kuala Lumpur, Malaysia

    Khairunnisa Hasikin

Authors
  1. Khairunnisa Hasikin
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  2. Nor Ashidi Mat Isa
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Correspondence to Nor Ashidi Mat Isa.

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This project is supported by Ministry of Science, Technology & Innovation Sciencefund Grant entitle “Development of Computational Intelligent Infertility Detection System based on Sperm Motility Analysis”.

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Hasikin, K., Mat Isa, N.A. Adaptive fuzzy contrast factor enhancement technique for low contrast and nonuniform illumination images. SIViP 8, 1591–1603 (2014). https://doi.org/10.1007/s11760-012-0398-x

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