Nasal Expiration Image Detection on Mirror Surface Using Alternating Optimization

Kosuke Nakahara, Kazu Mishiba, R. Doi, K. Kondo
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引用次数: 1

Abstract

ENT (ear, nose, and throat) doctors examine an infant nasal patency by using a nasal breath test. In nasal breath test, ENT doctors observe the fogging of mirror (the nasal expiration image) caused by the nasal expiration of the patient. Due to an immediate disappearance of the nasal expiration image, it is desirable to record the intensity of the nasal expiration image. The nasal expiration image is recorded by a video camera. The captured video is a mixture of video of the intensity of the nasal expiration image and video of background. The purpose of this paper is to separate video of the intensity of the nasal expiration image from captured video. The intensity of the nasal expiration image is estimated using an alternating optimization of nasal expiration image and background. Experimental results show that the proposed method can record the intensity of the nasal expiration image in a simulation environment.
基于交替优化的镜面鼻呼气图像检测
耳鼻喉科(耳鼻喉)医生通过鼻腔呼吸测试来检查婴儿的鼻腔通畅程度。在鼻呼吸试验中,耳鼻喉科医生观察患者因鼻呼气引起的镜像(鼻呼气图像)的雾化。由于鼻呼气图像的立即消失,需要记录鼻呼气图像的强度。鼻腔呼气图像由摄像机记录。所捕获的视频是一个混合视频的强度的鼻呼气图像和视频的背景。本文的目的是从采集的视频中分离出鼻呼气图像的强度视频。使用交替优化的鼻息图像和背景估计鼻息图像的强度。实验结果表明,该方法可以在仿真环境下记录鼻塞呼气图像的强度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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