In order to make better use of HSI Color model, we firstly sort the spore images into dark ones and light ones. Then according to different sorts, we use different thresholds.
为了更好地采用hsi颜色模型提取真菌孢子，本文首先通过预处理将真菌孢子图像按深浅分为几类，然后针对不同的类别采用不同的阈值进行分割。
This paper proposes a new method for automatic component inspection by image processing technology. A circuit board inspection system is built, which is based on HSI color model.
本文从图像处理和模式识别的角度出发，研究了基于数字图像处理技术的电路板检测方法，构建并实现了基于HSI颜色模型的缺陷检测系统。
Firstly, the color image is coarsely segmented into several binary images, which is accomplished based on the analysis of the histogram of the H component of the HSI color model.
根据归一化后的彩色图像的色度彩色分量直方图将图像粗分割成若干幅二值图像；
The HSI color model is not sensitive to light, so we can use it for color calibration, image segmentation by run-length code, and objection recognition to the ball, goal, and the white lines.
对于由全景视觉系统采集到的全景图像，本文采用对光线不敏感的HSI颜色模型进行颜色标定，利用游程编码进行图像分割，并在此基础上进行球、球门、角柱和白线的特征提取。
And the correlations among nitrogen, phosphorus and water content of the leaves and their color parameters were analyzed using the RGB and the HSI model.
在RGB和HSI颜色模型下分析了各分量与叶片含氮率、含磷率和含水率之间的相关特性。
And the correlations among nitrogen, phosphorus and water content of the leaves and their color parameters were analyzed using the RGB and the HSI model.
在RGB和HSI颜色模型下分析了各分量与叶片含氮率、含磷率和含水率之间的相关特性。
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