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Enhancing HE Stain Images Through an Advanced Soft Computing-Based Adaptive Ameliorated CLAHE

Enhancing HE Stain Images Through an Advanced Soft Computing-Based Adaptive Ameliorated CLAHE

Dibya Jyoti Bora
Copyright: © 2020 |Pages: 22
ISBN13: 9781799810216|ISBN10: 1799810216|ISBN13 Softcover: 9781799810223|EISBN13: 9781799810230
DOI: 10.4018/978-1-7998-1021-6.ch014
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MLA

Bora, Dibya Jyoti. "Enhancing HE Stain Images Through an Advanced Soft Computing-Based Adaptive Ameliorated CLAHE." Critical Approaches to Information Retrieval Research, edited by Muhammad Sarfraz, IGI Global, 2020, pp. 256-277. https://doi.org/10.4018/978-1-7998-1021-6.ch014

APA

Bora, D. J. (2020). Enhancing HE Stain Images Through an Advanced Soft Computing-Based Adaptive Ameliorated CLAHE. In M. Sarfraz (Ed.), Critical Approaches to Information Retrieval Research (pp. 256-277). IGI Global. https://doi.org/10.4018/978-1-7998-1021-6.ch014

Chicago

Bora, Dibya Jyoti. "Enhancing HE Stain Images Through an Advanced Soft Computing-Based Adaptive Ameliorated CLAHE." In Critical Approaches to Information Retrieval Research, edited by Muhammad Sarfraz, 256-277. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-1021-6.ch014

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Abstract

HE stain images play a crucial role in the medical imaging process. Often these images are regarded as of golden standards by physicians for the quality and accuracy. These images are fuzzy by nature, and hence, traditional hard-based techniques are not able to deal with this. Thereby, a decrease in the accuracy of the analysis process may be experienced. Preprocessing of these images is utmost needed so that the fuzziness may be removed to a satisfactory level. A new approach for tackling this problem is introduced in this chapter. The proposed technique is soft computing-based advanced adaptive ameliorated CLAHE. The experimental results demonstrate the superiority of the proposed approach than the other traditional techniques.

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