A Fast and Effective System for Detection of Neonatal Jaundice with a Dynamic Threshold White Balance Algorithm

被引:3
作者
Hsu, Wei-Yen [1 ,2 ,3 ]
Cheng, Han-Chang [1 ]
机构
[1] Natl Chung Cheng Univ, Dept Informat Management, Chiayi 621, Taiwan
[2] Natl Chung Cheng Univ, Ctr Innovat Res Aging Soc, Chiayi 621, Taiwan
[3] Natl Chung Cheng Univ, Adv Inst Mfg High Tech Innovat, Chiayi 621, Taiwan
关键词
neonatal jaundice detection; automatic white balance; dynamic threshold; a detection algorithm; HYPERBILIRUBINEMIA; TERM;
D O I
10.3390/healthcare9081052
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Neonatal jaundice is caused by high levels of bilirubin in the body, which most commonly appears within three days of birth among newborns. Neonatal jaundice detection systems can take pictures in different places and upload them to the system for judgment. However, the white balance problem of the images is often encountered in these detection systems. The color shift images induced by different light haloes will result in the system causing errors in judging the images. The true color of images is very important information when the detection system judges the jaundice value. At present, most systems adopt specific assumption methods and rely on color charts to adjust images. In this study, we propose a novel white balance method with dynamic threshold to screen appropriate feature factors at different color temperatures iteratively and make the adjustment results of different images close to the same. The experimental results indicate that the proposed method achieves superior results in comparison with several traditional approaches.
引用
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页数:12
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