enhance

书上的简单DCT图像处理程序，最基本的DCT，简单，价值低(Book on the simple DCT image processing program, the most basic DCT, simple, low value)

用matlab实现图像变形的实验实例，采用idw 和 rbf 算法(imagewarping using idw&rbf algorithms in matlab)

基于引导滤波的图像信息分层算法，可实现高低频信息分离，分段处理功能(The image information hierarchical algorithm based on guided filtering can realize the separation of high and low frequency information and the segmentation processing function.)

采用大津阈值法检测车道线，效果还可以，有需要的可以看看(Using the Dajin threshold method to detect the lane line, the effect is still good, you can see if you need it.)

antenna dipole of 3d antenna

用于图像分割，基于fcm算法的图像分割，实现模糊均值聚类的分割，更准却的实现分割。(For image segmentation, image segmentation based on FCM algorithm, the realization of fuzzy clustering segmentation, more accurate but to achieve segmentation.)

图像的预处理程序，包括边缘去噪、二值化、腐蚀等。为车牌定位作铺垫(image preprocessing procedures, including marginal denoising, the two values, and corrosion. To pave the way for positioning plates)

粒子滤波 图像处理程序,内有5个用于图像处理的程序(partical filter)

这是自己编的卷积型小波包的分解程序，用于机械故障特征提取，实现了克服Mallat算法数据量减少和产生虚假频率的缺陷(Own series of convolution type of wavelet packet decomposition procedures for mechanical fault feature extraction to overcome the defects of the the Mallat algorithm decrease in the amount of data and produce false frequency)

说明：  本设计为基于MATLAB的指纹识别系统。本设计系统主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像灰度化、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint identification system based on MATLAB. This system mainly deals with fingerprint image in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image grayscale, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed for the convenience of subsequent recognition processing. Feature extraction is mainly to extract the endpoint and bifurcation points after thinning the fingerprint image. Feature matching is to determine the two images by comparing the feature points of the two fingerprint images Whether the image comes from the same finger.)