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New Real-time Endoscopy Image Processing Technology of Hemoglobin Color Enhancement

机译:血红蛋白增色的新型实时内窥镜图像处理技术

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Video endoscopes play an important role in clinic practice for gastrointestine and bronchial tracts. Using these video endoscopes, a depressing type of early cancer which has recently been focused on can be identified with change in color tone such as reddening or discoloration. Some hemoglobin color enhancement processing algorithms have been developed to make this slight color tone change clear in real-time. In this paper, we will introduce a new algorithm which has been partially incorporated into a commercial endoscope system AQ-100. The basic principle of the algorithm is to adjust the RGB components based on the IHb value. Through Matlab simulation result and application feedback in clinic practice, this partially incorporated algorithm is confirmed effective in both simulation and clinic practice. Though the complete algorithm has a better effect in simulation, it still has some problems to be resolved before it can be applied into clinic practice.
机译:视频内窥镜在胃肠道和支气管的临床实践中起着重要作用。使用这些视频内窥镜,可以通过色调的改变(例如变红或变色)来识别最近关注的抑郁型早期癌症。已经开发了一些血红蛋白颜色增强处理算法,以使这种轻微的色调变化实时清晰可见。在本文中,我们将介绍一种新算法,该算法已部分集成到商用内窥镜系统AQ-100中。该算法的基本原理是根据IHb值调整RGB分量。通过Matlab仿真结果和临床实践中的应用反馈,证实了该部分合并的算法在仿真和临床实践中均有效。尽管完整的算法在仿真中效果更好,但在将其应用于临床之前仍然有一些问题需要解决。

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