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Integration of contrast-adaptive colour correction and convolutional neural network for cryptocaryon fish disease detection

Nor Hazlyna Harun Siti Naquiah Md Pauzi Mohamad Ghozali Hassan Nooraini Yusoff Beng Chu Kua Neil Gordon

渔业学报（英文）2026，Vol.11Issue(4)：684-696,13.

渔业学报（英文）2026，Vol.11Issue(4)：684-696,13.DOI:10.1016/j.aaf.2025.11.008

Integration of contrast-adaptive colour correction and convolutional neural network for cryptocaryon fish disease detection

Nor Hazlyna Harun ¹Siti Naquiah Md Pauzi ²Mohamad Ghozali Hassan ³Nooraini Yusoff ⁴Beng Chu Kua ⁵Neil Gordon⁶

作者信息

1. Data Science Research Lab,School of Computing,Universiti Utara Malaysia,Sintok,Kedah,06010,Malaysia||School of Tourism and E-Commerce,Baise University,Baise,533000,China
2. School of Technology Management and Logistics,Universiti Utara Malaysia,Sintok,Kedah,06010,Malaysia
3. School of Technology Management and Logistics,Universiti Utara Malaysia,Sintok,Kedah,06010,Malaysia||School of Tourism and E-Commerce,Baise University,Baise,533000,China
4. Faculty of Data Science and Computing,Universiti Malaysia Kelantan,Kelantan,16100,Malaysia
5. Fisheries Research Institute,Department of Fisheries Malaysia,Batu Maung,Penang,11960,Malaysia
6. School of Computer Science,University of Hull,Hull,HU6 7RX,United Kingdom
折叠

摘要

关键词

Fish disease detecting/Contrast adaptive colour correction/Convolutional neural networks/Underwater images/Image enhancement/Artificial intelligence

Key words

Fish disease detecting/Contrast adaptive colour correction/Convolutional neural networks/Underwater images/Image enhancement/Artificial intelligence

引用本文复制引用

Nor Hazlyna Harun,Siti Naquiah Md Pauzi,Mohamad Ghozali Hassan,Nooraini Yusoff,Beng Chu Kua,Neil Gordon..Integration of contrast-adaptive colour correction and convolutional neural network for cryptocaryon fish disease detection[J].渔业学报（英文）,2026,11(4):684-696,13.

基金项目

This research was supported by the Ministry of Higher Education(MoHE)through Fundamental Research Grant Scheme(Ref:FRGS/1/2020/ICT02/UUM/02/2(S/O Code:14856)).The content of this article is solely the responsibility of the authors and does not necessarily represent the official views of MoHE,Malaysia. （MoHE）

渔业学报（英文）

ISSN：2096-1758

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