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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Then, in HSI space, the method based on adaptive histogram equalization (AHE) is introduced to adjust the saturation and intensity. And then, the contrast is regulated further.

在HSI空间中，采用自适应直方图均衡（AHE）方法实现了图像饱和度和亮度的调整，并进一步修正了图像的对比度。

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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。

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