Wavelet_OMP

点云的配准实验s-icp算法 实现两个点云数据的对准(A scale stretch method based on ICP for 3D data registration)

利用基于直方图的自适应阈值方法实现分割前景与背景(The use of foreground and background to achieve segmentation adaptive threshold method based on histogram)

五线谱的简单识别 识别出点的位置 需要数据灰度图(we can know how to know music)

基于蚁群算法的图像边缘检测的matlab实现。里面有详细注释可以学习或者参考之用。(Based on ant colony algorithm for image edge detection matlab. There are detailed notes can learn or reference purposes.)

该代码描述了一种用Gar小波进行纹理特征提取方法，可用于图像分析、视频处理、以及模式识别前期建立模式向量。(The code describes a texture with Gar wavelet feature extraction methods can be used for image analysis, video processing, and pattern recognition pre-established pattern vector.)

利用侧抑制原理编写的一个最基本的小程序。程序实现了初步的轮廓提取效果。可供想要入门侧抑制原理的朋友参考。(The use of lateral inhibition, a basic principle of writing a small program. Program to achieve the initial contour extraction results. Introduction to principles of lateral inhibition for want of a friend for reference.)

同态滤波器 作用：消除不均匀照度的影响, 增强图象细节。(Filter function with the state: to eliminate the impact of uneven illumination, enhanced image detail.)

说明：  数学地角度来看，信号与图像处理可以统一看作是信号处理（图像可以看作是二维信号），在小波分析地许多分析的许多应用中，都可以归结为信号处理问题。对于其性质随时间是稳定不变的信号，处理的理想工具仍然是傅立叶分析。但是在实际应用中的绝大多数信号是非稳定的，而特别适用于非稳定信号的工具就是小波分析。(Mathematically, signal and image processing can be regarded as signal processing (image can be regarded as two-dimensional signal). In many applications of wavelet analysis, they can be reduced to signal processing. For signals whose properties are stable over time, the ideal tool for processing is still Fourier analysis. However, most of the signals in practical applications are unstable, and the tool especially suitable for unstable signals is wavelet analysis.)

说明：  利用石川啮合公式编写的程序，适用范围较广，好用，推荐(The program compiled by Ishikawa meshing formula is easy to use and recommended)

图像相似度计算，利用hog特征，不变矩，包含canny因子计算 来计算两张图片的相似度。可以用来进行图片检索(Image similarity calculation, hog characteristics, invariant moments contain a canny factor to calculate the similarity of two images. Can be used for image retrieval)