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长春光学精密机械与物... [1]
华南理工大学 [1]
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会议 [1]
会议论文 [1]
发表日期
2006 [1]
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Study on color difference estimation method of medicine biochemical analysis (EI CONFERENCE)
会议论文
ICO20: Illumination, Radiation, and Color Technologies, August 21, 2005 - August 26, 2005, Changchun, China
Wang C.
;
Zhou Y.
;
Zhao H.
;
Sun J.
;
Zhou F.
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浏览/下载:22/0
  |  
提交时间:2013/03/25
The biochemical analysis in medicine is an important inspection and diagnosis method in hospital clinic. The biochemical analysis of urine is one important item. The Urine test paper shows corresponding color with different detection project or different illness degree. The color difference between the standard threshold and the test paper color of urine can be used to judge the illness degree
therefore
it can be used in hospital
so that further analysis and diagnosis to urine is gotten. The color is a three-dimensional physical variable concerning psychology
the estimation method of color difference in urine test can have better precision and facility than the conventional test method with one-dimensional reflectance
calibrating organization and family
while reflectance is one-dimensional variable
it can make an accurate diagnose. The digital camera is easy to take an image of urine test paper and is used to carry out the urine biochemical analysis conveniently. On the experiment
so its application prospect is extensive.
the color image of urine test paper is taken by popular color digital camera and saved in the computer which installs a simple color space conversion (RGB &rarr XYZ &rarr L*a*b*) and the calculation software. Test sample is graded according to intelligent detection of quantitative color. The images taken every time were saved in computer
and the whole illness process will be monitored. This method can also use in other medicine biochemical analyses that have relation with color. Experiment result shows that this test method is quick and accurate
An Improved Top-N Recommendation for Collaborative Filtering (CPCI-S收录)
会议
作者:
Yang, Jiongxin[1]
;
Wang, Zhenyu[1]
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浏览/下载:2/0
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提交时间:2019/04/11
Collaborative filtering
Recommendation system
Top-N
Active user
Popular item
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