content-based-image-retrieval

此文档中的代码可以计算5种图像的质量参数，分别是：图像灰度均值、图像方差、图像平均梯度、熵和峰值信噪比及均方误差。(The code in this document can be calculated five kinds of image quality parameters, namely: the image gray value, image variance, average gradient image, entropy and peak signal to noise ratio and mean square error.)

数字散斑相关程序，能够计算2副图片的位移，简单的例子，对初学者也许有用。(Digital speckle correlation program can calculate the displacement of two images, a simple example, may be useful for beginners.)

说明：  MTLAB编写的程序，包括形态学梯度检测二值图像的边缘、用水线阈值法分割图像等。(MTLAB preparation procedures, including detection of morphological gradient binary image of the edge of the water line thresholding segmentation images.)

这是文章Nonlocally Centralized Sparse Representation for SR的代码(this is the code of Nonlocally Centralized Sparse Representation for SR)

采用半隐式方案实现变分水平集图像分割方法(Active contour without edge, image segmentation)

将一幅图像以jpeg的形式进行压缩，对初学者很有用(Jpeg form of an image compression, very useful for beginners)

完成了对车道线进行了识别，主要流程为灰度化，边缘检测，hough变换。(We completed the lane line identification, the main process of graying, edge detection, hough transform.)

很好的APEX盲恢复程序，用于图像去模糊处理，适用于常见模糊，如高斯模糊、柯西模糊、大气湍流等(Very good APEX blind recovery procedures, used in image to fuzzy processing, apply to common fuzzy, such as a gaussian blur, cauchy fuzzy, atmospheric turbulence, etc )

通过边缘检测寻找图像上圆点的圆心坐标，可用于大量的图像处理程序(Image through edge detection to find the center coordinates of the dots)

Detecting ellipses on a camera source with Hough transform