simplegabortb-v0.2.2

关于高光谱图像的图像处理技术，RX异常检测技术，代码功能强大，且代码注释很多，对学习很有帮助。(Hyperspectral image on image processing techniques, RX Anomaly Detection technology, powerful code feature, and many code comments, learning helpful.)

这是我花了很多时间收集的有关sift-pca资料哦，里面也包括了sift-pca的MATLAB代码(This is what I spent a lot of time to collect information about the sift-pca Oh, which also includes a sift-pca MATLAB code)

图像颜色一阶矩、二阶矩、三阶矩特征抽取。不带图像分块。(Image color first moment, second moment and three moments features)

SIFT图像配准，已测试比较好用，请大家放心使用(SIFT image registration)

主要用于标签文字的识别，效果比较好，实用性较强(Mainly used for the identification of the label text, the effect is better, more practical)

首先生成如下形式的图片：图中的白条为7象素宽，210象素高，白条间的宽度为17象素。 应用多种滤波器进行处理：算术均值，几何均值，谐波均值，逆谐波均值，中值滤波，中点滤波，最大值、最小值滤波等。注意，需改变模板大小。详细比较上述的结果，并分析原因。 (First generation following form images: figure IOUs 7 pixels wide, 210 pixels high, the width is 17 pixels between IOUs. Using a variety of filters for processing: the arithmetic mean, geometric mean, harmonic mean, inverse harmonic mean, median filtering, filtering midpoint, maximum, minimum filtering. Note that the need to change the template size. A detailed comparison of these results and analyze the reasons.)

一种点云数据的配准算法，可用于进一步的三维建模处理，配准效果良好。(One kind of point cloud data registration algorithm, three-dimensional modeling can be used for further processing, registration to good effect.)

一个比较不错的水平集改进算法，内附说明文档。(A relatively good level set to improve the algorithm, containing documentation.)

利用双线性插值，获取亚像素位置的灰度值。适用于得到sift、surf得到的特征点坐标处的灰度值获取(The gray value of sub-pixel position is obtained by bilinear interpolation)

Mikolajczyk 的特征点提取 重复性评价代码(Mikolajczyk s evaluation of feature point extraction of repetitive code)