利用图像处理技术进行荧光图像的自动解释

2008年 15卷 第01期
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Automatic interpretation of fluorescence image
by using image processing technique
文慧俭1;崔延君
1.大庆石油学院,黑龙江 大庆 163318 吉林油田公司测井公司,吉林 松原 138000
荧光图像解释自动化和定量化是提高荧光录井解释精度、降低工作量的重要措施,文中利用计算机图像处理技术,对荧光图像进行了色度学定量分析,测试参数为红(R)、绿(G)、蓝(B)三基色刺激值和R、G、B色度坐标。在对荧光颜色进行了聚类分析的基础上,对荧光图像每一种颜色的波长和相对强度进行了计算, 绘制了荧光图像的光谱特征图。结果表明利用计算机技术进行荧光图像自动、定量解释是可行的,该方法可以计算出每一种孔隙流体波长范围、相对强度分布特征以及发光面积等信息,这对油层水淹程度的定量解释具有重要应用价值。
It is an important measure to raise the precision and reduce the workload of geologic logging interpretation that the
fluorescence images are interpreted automatically and quantificationally. By means of computer image processing technique, the
fluorescence images are analyzed in the light of colorimetry theory. The measured parameters are the tristimulus values of three
primary colors (i.e. red, green and blue) and the chromaticity coordinates of these three. The wavelength and the relative
fluorescence intensity of each color were calculated in fluorescence images based on clustering analysis to fluorescence colors and
the spectrum charicteristics of fluorescence images are drawn out. The research result indicated that the automatic and
quantificational interpretation of fluorescence image is feasible by using computer technique. The wavelength scope and the
distribution of relative fluorescence intensity and luminescence area of each kind of pore fluid are calculated by the methods. It has
an important value to quantificationally interpret the degree of water flooding in oil layers
荧光; 色度学; 波长; RGB; 相对强度; 自动解释;
fluorescence, colorimetry, wavelength, RGB, relative intensity, automatic interpretation;