watermark

两种不同量化步长的图像采样编码重够后的图像比较(Comparison of the two different images of the image sample quantization step size after encoding the heavy enough)

冈萨雷斯数字图像处理MATLAB版,关于冈萨雷斯的数字图像处理这本书的源代码。(Gonzalez Digital Image Processing Using MATLAB Gonzalez of digital image processing source code for this book.)

说明：  合成孔径雷达点目标仿真，线性变标算法（CSA），注释完整，可以直接运行，信号模型参考书目《合成孔径雷达成像算法与实现》。(Synthetic aperture radar point target simulation, linear scaling algorithm (CSA), complete annotations, can be run directly, the signal model reference bibliography "Synthetic aperture radar imaging algorithm and implementation".)

关于包络跟踪测试解决方案的说明。介绍了所需的相关仪表以及之间的同步通信(Envelope Tracking)

基于稀疏字典和稀疏编码的图像去噪算法，基于低秩约束的高光谱条纹噪声去除，包含论文及代码(Based on sparse dictionary and sparse coding image denoising algorithm, based on low rank constraints of hyperspectral fringe noise removal, including papers and code)

本文件用matlab 语言，对kalman滤波的方法进行仿真，画出来原始曲线，观察值，和跟踪曲线，会对初学者有很大的帮助！(this document using Matlab language, Kalman filtering method simulation, sketching out the original curve, observed values, and tracking curve, beginners will be of great help!)

特征点匹配时，采用构造KD-tree，用最优节点优先法寻找最佳匹配点(Matching feature points, the tectonic KD-tree, with the optimal node is preferred method to search for the optimal matching point)

介绍了混合高斯背景建模法提取运动目标的过程，自己写的，比较好理解，付视频一个，用自己的视频也可以(Describes the process of Gaussian mixture background modeling method to extract moving target, write your own, is better understood, paid a video, you can use your own videos)

批量的将图像转为tif格式，界面方面操作，放在ENVI的安装路径下即可(convert different format of image to .tiff)

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.