A false color image fusion algorithm based on HSI color space for different sensors was proposed.
提出了一种基于HSI空间的假彩色异类传感器图像融合算法。
Color image processing and analysis were implemented in HSI color space, concerning the difficulty in distinguishing the color similarity effectively in RGB color space.
针对在RGB空间很难有效区分颜色相似性的问题，选择hsi颜色空间进行图像处理和分析。
This method changes filmed RGB color image HSI color space, it is main basis with H heft, combinative S and I heft undertake thick break up, get color initiative get together kind of center.
该方法将拍摄的RGB彩色图像转换到HSI颜色空间，并以H分量为主要依据，结合S和I 分量进行粗分割，获取颜色初始聚类中心。
Considering the characteristics of SLM microscopic images and color information of them, two wavelet transformation based methods in HSI color space and vector space for edge detection are proposed.
考虑SLM显微图像的特征和图像的彩色信息，在HSI彩色空间和向量空间的基础上，提出了两种基于小波变换的边缘检测算法。
A new feature algorithm is proposed based on wavelet transform in HSI space to obtain a feature vector with combining information of color, texture and scale.
提出了基于小波变换的HSI空间的彩色纹理墙地砖图像的特征提取新算法，得到具有颜色、纹理和尺度融合信息的特征矢量。
A new feature algorithm is proposed based on wavelet transform in HSI space to obtain a feature vector with combining information of color, texture and scale.
提出了基于小波变换的HSI空间的彩色纹理墙地砖图像的特征提取新算法，得到具有颜色、纹理和尺度融合信息的特征矢量。
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