毕设总程序

该代码实现了sift特征提取，特征点自动匹配，效率较高(The code realizes sift registration)

说明：  将ply格式的3D物体文件导入Matlab中，并且可以把Matlab中的Patch object导出成ply格式。(Ply format to 3D objects in the file into Matlab, and Matlab can be derived in the Patch object into a format ply.)

说明：  傅立叶变换在图像处理中的重要作用： (A) 图像增强与图像去噪 绝大部分噪音都是图像的高频分量，通过低通滤波器来滤除高频噪声；边缘也是图像的高频分量，可以通过添加高频分量来增强原始图像的边缘； (B) 图像分割与边缘检测 提取图像高频分量 (C) 图像特征提取 形状特征：傅里叶描述子 纹理特征：直接通过傅里叶系数来计算纹理特征 其他特征：将提取的特征值进行傅里叶变换来使特征具有平移、伸缩、旋转不变性 (D ) 图像压缩 可以直接通过傅里叶系数来压缩数据；常用的离散余弦变换是傅立叶变换的实变换； (Fourier transform in the important role of image processing: (A) image enhancement and image denoising Most of all images of high frequency noise by low pass filter to filter out high frequency noise edge is the image of the high frequency components can be enhanced by adding high frequency components to the edge of the original image (B) Image segmentation and edge detection High frequency components extracted image (C) image feature extraction Shape features: Fourier descriptors Texture: directly through the Fourier coefficients to calculate the texture features Other features: The characteristic value extracted by Fourier transform to the characteristics of translation, scaling, rotation invariance (D) image compression Fourier coefficients can be directly compressed data commonly used discrete cosine transform is the Fourier transform of the real transformation 朗读显示对应的拉丁字符的拼音)

说明：  基于小波变换的图像压缩和编码。matlab实现。(Based on wavelet transform image compression and coding. matlab achieve.)

著名的LUCAS KANADE算法，用于图像匹配，跟踪，识别(LUCAS KANADE well-known algorithm for image matching, tracking, identification)

使用matlab中的nlfilter来进行邻域处理(Using nlfilter in MATLAB to process neighborhood)

基于粒子滤波与改进水平集的人手跟踪论文，论文中详细介绍了手势分割的实现算法(Based on particle filter and improve the level set of hand tracking paper, paper introduces the realization of gesture segmentation algorithm)

用MATLAB软件产生一个被高斯噪声污染的lenna图像，使用T3、T5、高斯滤波、中值滤波进行处理；(MATLAB software with a Gaussian noise pollution Lenna image, the use of T3, T5, Gaussian filtering, median filtering for processing )

用于图像处理-圆检测，可检测多个圆，效果好(For image processing - circle detection, can detect multiple circles, the effect is good.)

基于傅里叶梅林变换亚像元图像配准程序，可以运行。(Fourier Mellin transform based sub-pixel image registration process, you can run.)