SaliencyToolbox2.3

道路提取，设置初始的点，输入图像，snake 模型(Road extraction, set the initial point, input image, snake model)

已知一图像的轮廓，计算该轮廓质心，并标注在图上(A known the outline of image, the contour centroid calculation, and marked on the map )

基于小波变换的使用SPIHT算法进行图像压缩，并对原有的算法进行优化(Based on wavelet transform using the SPIHT algorithm for image compression, and the original algorithm to optimize)

将图像从笛卡尔坐标系上转换到对数极坐标上，这样做便于将笛卡尔坐标系上存在缩放和旋转关系的图像转换成对数极坐标下的具有平移关系的图像，然后就可以用相位相关检测算法进行相关检测，得到两幅图像的相关性(Convert an image Cartesian to polar coordinates on a logarithmic, this facilitates the translation relations image with the next image conversion to a logarithmic scale and rotate relationship exists between the Cartesian coordinates polar coordinates, then you can use phase correlation detection algorithm for correlation detection, the correlation between two images obtained)

包含基于三种不同方法的应用于图像处理的矩阵低秩分解的matlab算法，可以将目标图像分解为一个低秩图像和一个稀疏图像之和；并包含一种基于区域生长方法的图像区域识别程序，可以用来提取图像中的目标。(Containing used in image processing based on three different methods of low-rank matrix decomposition algorithm matlab, the target image can be decomposed into a low rank of the image and the image and a sparse and contains a region growing method based on image area recognition program It can be used to extract the object in the image.)

基于霍夫变换开发一种较通用的快速圆检测方法，并将之应用到虹膜图象的检测中，完成对虹膜内、外边缘的定位。(Hough transform based on the development of a more general-purpose fast circle detection methods, and to apply it to the detection of iris images, the completion of the iris inner and outer edge of the positioning.)

说明：  对边缘图像作hough变换，从峰值中恢复出车道线(Right edge of the image for hough transform, recovered from a peak in the lane)

这里包含了曲线波变换用于图像去噪的一片论文以及翻译，这是本人亲自翻译排版的，希望对大家有用(This includes the curvelet transform for image denoising is a piece of paper and translation, this is a personally Translation Publishing, I hope useful for everyone)

说明：  文件有几个基于视网膜的图像增强技术，有SSR，MSR代码(There are several image enhancement technologies based on retina, including SSR and MSR codes.)

很好的将lab空间中各颜色分量区分开，亲自使用过修改即可使用(It is very good to separate the color components in lab space.)