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Related Experiment Video

Updated: Feb 26, 2026

Streamlined Sampling and Cultivation of the Pelagic Cosmopolitan Larvacean, Oikopleura dioica

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An adaptive image enhancement method for a recirculating aquaculture system.

Chao Zhou^1,2,3,4, Xinting Yang^5,6,7, Baihai Zhang⁴

¹Beijing Research Center for Information Technology in Agriculture, Beijing, 100097, China.

Scientific Reports

|July 26, 2017

Summary

This study introduces an adaptive image enhancement method for recirculating aquaculture systems (RAS). The technique improves image contrast and brightness, aiding in the analysis of aquaculture images.

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Area of Science:

Aquaculture Engineering
Image Processing
Computer Vision

Background:

Recirculating aquaculture systems (RAS) often suffer from low and uneven illumination.
This poor lighting degrades the quality of visible and near-infrared (NIR) images.
Low contrast and brightness in RAS imagery hinder subsequent image analysis and monitoring.

Purpose of the Study:

To develop an effective image enhancement method for low-light RAS images.
To improve image contrast and brightness for better feature visibility.
To provide a tool that aids in the automated analysis of aquaculture environments.

Main Methods:

Proposed an image enhancement method combining Multi-Scale Retinex (MSR) and greyscale nonlinear transformation.
Utilized the MSR algorithm to address uneven and low illumination.
Employed a normalized incomplete Beta function for greyscale transformation, with parameters optimized by particle swarm optimization (PSO).

Main Results:

The proposed method significantly enhances image contrast in RAS imagery.
Dark areas within the images are effectively highlighted.
The adaptive enhancement demonstrably outperforms traditional image enhancement techniques.

Conclusions:

The developed adaptive image enhancement method is highly effective for RAS applications.
Improved image quality facilitates more accurate and reliable analysis of aquaculture systems.
This technique offers a valuable solution for overcoming illumination challenges in underwater imaging within aquaculture.