SAR

分析了合成孔径雷达的模糊度问题及其对图像质量的影响, 详细描述了模糊度的 表达式, 分析了不同系统参数对模糊度的影响, 对所谓的重影现象作了定量分析(Analysis of synthetic aperture radar ambiguity problems and their impact on image quality, a detailed description of the fuzzy degree of expression of the different system parameters on the degree of influence on the so-called ghost phenomenon analyzed quantitatively)

sift图像匹配的纯matlab代码,研究图像配准的可以用这个，配准图像效果较好！！(sift pure image matching matlab code of image registration can use this, the image registration is better! !)

说明：  对图像进行细化和提取骨架操作，还是那句话，绝对原创(read an image and proccessed with matlab to get its skeleton and the result of thin)

图像纹理提取gabor小波提取特征一幅输入的图形进行特征提取基于gabor小波变换(image texture extraction of edge detection)

说明：  自编快速傅里叶变换函数 自适应中值滤波傅里叶变换函数快速傅里叶变换(Self-programmed FAST Fourier Transform function adaptive Median filter Fourier Transform Function fast Fourier Transform)

通过点云数据的格网化，建立格网分块索引，这是一种有效的点云数据存储方式。( Through the point cloud data grid , the establishment of a grid block index, which is a valid point cloud data storage. )

基于MATLAB图像处理的车辆检测与识别，很基础的，入门(moving detect)

Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image.

贝叶斯分类程序，用于图像的分割，二值化等，是模式识别中的一种基本分类方法。 k均值聚类，神经网络(Bayesian classification procedures for image segmentation, binarization is a basic classification in pattern recognition. k-means clustering, neural networks)

基于小波阈值的去噪方法，可以通过改变不同的参数达到不同的效果。(Wavelet threshold de-noising method can achieve different effects by changing the different parameters.)