junh

说明：  基于距离多普勒算法和CS算法实现SAR点目标仿真与实测数据处理(Realization of SAR Point Target Simulation and real data processing)

说明：  检测火灾，本课题为基于matlab的火灾检测识别，烟雾报警，火焰检测，通过几何参数判别，即面积增长率，角度等。完美运行。(Detection of fire, this topic is based on the MATLAB fire detection and recognition, smoke alarm, flame detection, through the geometric parameters, that is, area growth rate, angle and so on. Perfect operation.)

非线性超声成像仿真工具，考虑组织畸变、衰减、谐波等因素。(toolbox for nonlinear ultrasound imaging simulation)

用C charp编写的图像滤镜效果，包括源代码。(Image filter effects)

提取图形的七阶不变矩，简单易行，利用求得特征矩进行图像的识别(It is simple and easy to extract the seven order moment of the graph, and the image is identified by using the characteristic moment.)

自己编写的一个MATLAB 的水平、垂直灰度投影，程序简单易懂，希望对大家有用。(I have written a MATLAB horizontal, vertical gray projection, the program easy to understand, want to be useful.)

Itti模型的显著图提取，使用matlab编写，很好的代码，可供参考学习(Itti model saliency map extraction, the use of matlab prepared very well the code)

根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是 Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，希望可以给各位带来阅读上的方便。 基于meanshift的聚类分割方法包括滤波、区域融合等操作，通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)

毕业设计，基于内容的图像检索，支持的检索特征包括 sift,颜色直方图，灰度矩阵，HU不变矩，边缘方向直方图，检索方法使用K-means和K-D树两种，需要OPENCV支持，运行时请先选定一个文件夹来生成特征库，特征库用access数据库保存，只支持JPG文件(Graduate design, content-based image retrieval, search features, including support sift, color histogram, gray matrix, HU moment invariants, edge direction histogram, retrieval method using the K-means and KD trees are two kinds of needs OPENCV support Please select a runtime folder to generate the feature library, feature library with access database save, only supports JPG files)

说明：  图像处理中应用非常广泛的二维最小均方误差算法（TDLMS）。绝对好用！(Image Processing is widely used two-dimensional MMSE algorithm (TDLMS). Absolute ease of use!)