Department of Electrical Engineering, Indian Institute of Technology, Madras, Chennai 600036, India.
Healthcare Technology Innovation Centre, Indian Institute of Technology, Madras, Chennai 600113, India.
Sensors (Basel). 2023 May 20;23(10):4932. doi: 10.3390/s23104932.
Endoscopy is a critical application that requires adaptable illumination to adjust to varying imaging conditions. Automatic brightness control (ABC) algorithms ensure optimal brightness throughout the image with rapid but smooth response and render the true colours of the biological tissue under examination. To achieve good image quality, high-quality ABC algorithms are necessary. In this study, we propose a three-assessment method approach for objectively evaluating ABC algorithms based on (1) image brightness and its homogeneity, (2) controller response and response time, and (3) colour rendition. We conducted an experimental study to assess the effectiveness of ABC algorithms in one commercial and two developmental endoscopy systems using the proposed methods. The results showed that the commercial system achieved good, homogeneous brightness within 0.4 s, and its damping ratio was 0.597, indicating a stable system, but its colour rendition was suboptimal. The developmental systems had control parameter values that resulted in either a sluggish response (over 1 s) or a fast (about 0.3 ms) but unstable response with damping ratios above 1, causing flickers. Our findings indicate that the interdependency among the proposed methods can establish tradeoffs in the overall ABC performance better than single-parameter approaches. The study establishes that comprehensive assessments using the proposed methods can contribute to designing new ABC algorithms and optimising already implemented ones for efficient performance in endoscopy systems.
内窥镜检查是一项关键的应用,需要自适应照明来适应不同的成像条件。自动亮度控制(ABC)算法可确保整个图像的亮度最佳,响应迅速而平稳,并呈现检查生物组织的真实颜色。为了获得良好的图像质量,需要高质量的 ABC 算法。在这项研究中,我们提出了一种基于(1)图像亮度及其均匀性、(2)控制器响应和响应时间以及(3)颜色再现的客观评估 ABC 算法的三评估方法。我们进行了一项实验研究,使用提出的方法评估了一个商业和两个开发中的内窥镜系统中的 ABC 算法的有效性。结果表明,商业系统在 0.4 秒内实现了良好的均匀亮度,其阻尼比为 0.597,表明系统稳定,但颜色再现不理想。开发中的系统的控制参数值导致响应缓慢(超过 1 秒)或快速(约 0.3 毫秒)但不稳定,阻尼比超过 1,导致闪烁。我们的研究结果表明,所提出的方法之间的相互依存关系可以比单一参数方法更好地建立 ABC 性能的整体权衡。该研究表明,使用所提出的方法进行综合评估可以有助于设计新的 ABC 算法并优化已经实现的算法,以实现内窥镜系统中的高效性能。