生物图像标定方法研究

Zilong Liu, Wenli Liu, Rui Chen, Yu Wang, N. Liao
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引用次数: 0

摘要

生物图像是生物学研究的主要手段,因此对生物图像的准确测量和识别,特别是对细胞图像这样的单向仪图像的准确测量和识别是非常重要和关键的。所有这些都依赖于生物图像的准确显示。在细胞水平上建立了生物图像标准显示功能(SDF)的关键模型,并利用该模型对测量图像进行了图像计量标准的标定。通过这种校准,生物图像可以显得更加“真实”。利用该模型对多幅关键波长序列图像数据的SDF进行标定,然后将这些序列数据合并到一幅图像中,从而实现标定。对一种人体红细胞图像进行了相应的测量和校正。校正后的图像色度提高了3,亮度对比度提高了2。
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The calibration method research for biology image
Biology image is a main approach of biology research, So the measurement and recognition accurately of biology image, especially the monometer image like cell image, is very important and critical. All these depend on the accurate display of biology image. A key model of standard display function(SDF) for biology image is established at cell level, and measurement images are calibrated by the metrology standard of image using this model. The biology image can be appeared more “true” through this calibration. The SDF of several serial image data at key wavelengths are calibrated using the model, and then these serial data are combined in one image, thus the calibration is achieved. A kind of human erythrocyte image is measured and calibrated correspondly. After calibrated, the chromatism of this image is improved by 3 and the luminance contrast of that is improved by 2.
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