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图像位移检测，用于探测前后两张图像相对位移关系，并输出移动后的像素数量(image drift detection)

该上传的256张CT图片是高质量的DICOME格式人类头骨的连续序列切片图，可直接用于医学三维重建或体绘制。(The upload of 256 CT images are of high quality DICOME form a continuous sequence of the human skull slice diagram can be directly used in medical 3D reconstruction or volume rendering.)

说明：  像素与图像基本指标—彩色图像的基本信息、像素颜色值、图像的大小、矩阵形式等、对灰度图像计算有关统计参数：（1）图像的大小；（2）图像的灰度平均值；（3）图像的自协方差；（4）图像的灰度标准差、对图像进行45度，19度，98度等任意角度的旋转，并计算原图与旋转后图像的相关系数和协方差矩阵(Pixel and Basic Index of Image)

说明：  使用Harris角点检测器查找特征。再使用SIFT描述符并匹配两个图像之间的特征描述符。使用RANSAC执行单应。最后把图像包起来缝合。(Use Harris corner detector to find features. Sift descriptors are then used to match the feature descriptors between the two images. Use RANSAC to perform single response. Finally, the image is wrapped and stitched.)

区域生长法获取图像边界 必须有种子 可以有很多方法 这里直接鼠标点击(Region growing method to obtain the image the border must have a lot of methods of seed can have a direct mouse click here)

RSIHE算法（Recursive sub-image histogram equalization）。基本原理是将图像分割为等面积的2^r部分，各部分分别进行直方图均衡。文件中包含RSIHE的matlab源代码，论文，以及输入图像(RSIHE algorithm (Recursive sub-image histogram equalization). The basic principle is to image segmentation is an area of ​ ​ 2 ^ r part, the various parts of histogram equalization. File contains RSIHE matlab source code, papers, as well as the input image)

说明：  ICP模型配准有二维三维两种方式，简单好用(ICP RIGID EASY 2 DIMENSION 3 DIMENSION)

gist特征用于商品图像检索，其为全局特征，检索效果非常好。(GIST feature is used to realize image retrival it performs very well.)

说明：  1.6尺度不变特征提取，内附代码和文件说明，实证可用(1.6 Scale invariant feature extraction, enclosed code and document description, the empirical results are available.)