Urick_UnderwaterAcoustic_V3

SURF算法为SIFT算法的改进，运算速度得到了很大的提高。本资料为基于MATLAB的SURF算法实现，对图像匹配的研究方向会有一定帮助。(SURF algorithm SIFT algorithm, computing speed has been greatly improved. MATLAB based on the information of the SURF algorithm for image matching the direction of the research will certainly help.)

实现对图像的经验模态分解，得到经验模态分解后的第一层IMF分量，反映了图像的主要信息，去除冗余信息，为识别提供了基础。(Empirical mode decomposition of image, obtain the empirical mode decomposition of the first layer of IMF component, reflected the main information of the image, to remove redundant information, provide the basis for identification. )

说明：  用奇异值分解（SVD）的方法进行噪声去除( noise removing by SVD analysis)

图像处理.最全的压缩编码与解码.非常值得学习(Image processing most complete compression encoding and decoding. Worth learning)

this code is for the paper of image segmentation based on level set methods. in this paper improves Tony Chan s paper and improves the speed.

说明：  实现了基于关键像素点的FLICM图像分割算法，关键像素由局部最大值方法提取。(A FLICM image segmentation algorithm based on key pixels is implemented. Key pixels are extracted by local maximum method.)

说明：  图像处理中应用非常广泛的二维最小均方误差算法（TDLMS）。绝对好用！(Image Processing is widely used two-dimensional MMSE algorithm (TDLMS). Absolute ease of use!)

在逆向工程中通过测量仪器得到的产品外观表面的点数据集合也称之为点云，通常使用三维坐标测量机所得到的点数量比较少点与点的间距也比较大，叫稀疏点云；而使用三维激光扫描仪或照相式扫描仪得到的点云点数量比较大并且比较密集，叫密集点云。(Data collection point in the surface appearance of the product obtained by reverse engineering measurement instruments, also known as point clouds, usually spaced three-dimensional coordinate measuring machine number of points obtained in relatively small dots are relatively large, called sparse point cloud while the number of point cloud using the three-dimensional laser scanner or camera scanner get bigger and more intensive, called dense point clouds.)

最佳拼接线方法进行图像拼接，对学习图像拼接很有用处(The best method of splicing line image mosaic, image stitching is useful for learning)

三种改进的图像增强算法，包括改进的类拉普拉斯增强算法，混合式MSRCR彩色图像增强算法，区域自适应反锐化掩模图像增强算法。(Three improved image enhancement algorithms, including improved classes, Laplace enhancement algorithms, the hybrid MSRCR Color Image Enhancement algorithm, region adaptive unsharp mask image enhancement algorithms)