生物目标图像多光谱处理系统的信息呈现过程优化

K. Zaichenko, B. Gurevich
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引用次数: 0

摘要

该多光谱图像处理方法预测了几种信息的同时处理,优选的是空间、光谱和梯度类型。这些信息的可靠记录在很多情况下会造成时间信息的损失,而这往往是人们所不希望看到的。然而,如果选择元件的运行率足够高,就像它发生在声光可调滤波器应用的情况下一样,那么就有可能将时间信息的损失降到最低。在图像多光谱处理过程中,考虑了不同信息量在传输过程中的相互依赖关系。特别注意了空间和光谱信息关系的最佳定义,以及空间和梯度信息的最佳定义。讨论了在医学诊断领域,多光谱处理方法的应用可以显著提高正确诊断解决方案的接受概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of information presentation process by multispectral processing systems of biological objects images
The method of multispectral images processing foresees the simultaneous processing of several kinds of information, preferably spatial , spectral, and gradational kinds. The reliable recording of these kinds of information causes in many cases the time information losses which is often look undesirable. However if the selective element operation rate is enough high, as it takes place in the case of acousto-optic tunable filters application, so it is possible to minimize the losses of time information. The mutual dependencies of amounts of different information kinds have been considered during their transmission while the images multispectral processing procedures. The special attention have been paid to the definition of spatial and spectral information relationships optimums as well as the same for spatial and gradational information. The areas of medical diagnostics have been discussed for which the multispectral processing method application can increase the probability of the correct diagnostic solutions accepting significantly.
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