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Investigation of self-adaptive LED surgical lighting based on entropy contrast enhancing method

机译:基于熵对比增强方法的自适应LED手术灯的研究

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摘要

Investigation was performed to explore the possibility of enhancing contrast by varying the spectral distribution (SPD) of the surgical lighting. The illumination scenes with different SPDs were generated by the combination of a self-adaptive white light optimization method and the LED ceiling system, the images of biological sample are taken by a CCD camera and then processed by an 'Entropy' based contrast evaluation model which is proposed specific for surgery occasion. Compared with the neutral white LED based and traditional algorithm based image enhancing methods, the illumination based enhancing method turns out a better performance in contrast enhancing and improves the average contrast value about 9% and 6%, respectively. This low cost method is simple, practicable, and thus may provide an alternative solution for the expensive visual facility medical instruments.
机译:进行了研究以探索通过改变手术照明的光谱分布(SPD)来增强对比度的可能性。通过自适应白光优化方法和LED天花灯系统的组合,产生了具有不同SPD的照明场景,通过CCD相机拍摄生物样本图像,然后通过基于“熵”的对比度评估模型进行处理。建议用于手术场合。与基于中性白光LED和基于传统算法的图像增强方法相比,基于照明的增强方法在对比度增强方面表现出更好的性能,并将平均对比度值分别提高了约9%和6%。这种低成本的方法简单,可行,因此可以为昂贵的视觉设施医疗器械提供替代解决方案。

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