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长春光学精密机械与物... [2]
清华大学 [1]
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会议论文 [2]
期刊论文 [1]
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2010 [1]
2006 [2]
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基于特征聚类的舌下络脉自动提取方法
期刊论文
2010, 2010
孙丹萍
;
吴佳
;
张永红
;
白净
;
翁维良
;
吴煜
;
SUN Dan-Ping
;
WU Jia
;
ZHANG Yong-Hong
;
BAI Jing
;
WENG Wei-Liang
;
WU Yu
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  |  
浏览/下载:4/0
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
Study on color model conversion for camera with neural network based on the combination between second general revolving combination design and genetic algorithm (EI CONFERENCE)
会议论文
ICO20: Illumination, Radiation, and Color Technologies, August 21, 2005 - August 26, 2005, Changchun, China
Zhao H.
;
Li Z.
;
Wang C.
;
Sun J.
;
Zhou F.
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  |  
浏览/下载:27/0
  |  
提交时间:2013/03/25
Munsell color system is selected to establish the mutual conversion between RGB and L*a*b* color model for camera. The color luminance meter and CCD camera synchronously measure the same color card
XYZ value is gotten from the color luminance meter
the training error is 0.000748566
it can show that the method combining second general revolving combination design with genetic algorithm can optimize the hidden-layer structure of neural network. Using the data of testing set to test this network and calculating the color difference between forecast value and true value
the color picture captured from CCD camera is expressed for RGB value as the input of neural network
and the L*a*b* value converted from XYZ value is regarded as the real color value of target card
which the difference is not obvious comparing with forecast result
the maximum is 5.6357 NBS
namely the output of neural network. The neural network of two hidden-layers is considered
the minimum is 0.5311 NBS
so the second general revolving combination design is introduced into optimizing the structure of neural network
and the average of color difference is 3.1744 NBS.
which can carry optimization through unifying project design
data processing and the precision of regression equation. Their mathematics model of encoding space is gained
and the significance inspection shows the confidence degree of regression equation is 99%. The mathematics model is optimized by genetic algorithm
optimization solution is gotten
and function value of the goal is 0.0007168. The neural network of the optimization solution is trained
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