ImgEn

在静止背景下使用背景差分法和帧间差分法进行移动目标的检测(Moving target detection using background subtraction and inter-frame subtraction in static background)

SAR图像分类程序，基于灰度阈值的分类，无监督学习的分类简单。(SAR Image classification)

DCT在图像重构，压缩感知以及稀疏表示中的应用(DCT in image reconstruction, compressed sensing and sparse representation of the application)

说明：  利用基于直方图的自适应阈值方法实现分割前景与背景a）设定三个不同阈值，直接观察分割结果； b) 利用统计直方图，得到一个自适应的阈值.(The segmentation foreground and background a are realized by using the histogram based adaptive threshold method, and three different thresholds are set, and the segmentation results are observed directly. B) a adaptive threshold is obtained by using the statistical histogram.)

针对大尺度图像配准和不同传感器图像配准问题, 介绍了一种基于 SIFT 的图像配准方 法。(For large-scale image registration and image registration problem from different sensors, introduces a SIFT-based image registration method.)

说明：  为了在抑制噪声时尽可能保留图像边缘信息，提出一种自适应各向异性高斯滤波器设计方法. 该方法由独立 强度传播（IDS）模型决定滤波器的长轴尺度，由像素的邻域平滑度决定长短轴的比例，然后根据该处的灰度梯度方 向自适应决定各向异性滤波器的长轴方向. 仿真实验表明，提出的自适应各向异性滤波器具有很强的噪声抑制和 边缘保持能力. (In order to suppress noise, as far as possible to keep the image edge information, an adaptive anisotropic Gaussian filter design methods. The method by the independent strength spread (IDS) model determines the long axis of the filter scale, the pixel neighborhood smoothness determine the ratio of minor axis, and then there' s gray gradient direction of adaptive decision the long axis of anisotropic filter. Simulation results show that the proposed adaptive anisotropic filter has a strong noise suppression and preserve edges.)

Matlab在一个图形上添加多个colormap(Matlab adds multiple colormap on a graph)

读取与显示JPG等格式图像文件，Visual C++编程技巧精选，很好的参考资料。(Read and display JPG format image files, Visual C++ programming skills selected, a good reference.)

有关目标的匹配跟踪代码，简单易懂，里面含有丰富的测试图片，和最终的测试效果图(The target matching tracking code, easy to understand, which contains a wealth of test images, and the final test renderings)

对整幅三维影像数据进行Butterworth高通滤波处理（10阶2次），先进行傅里叶变换，利用巴特沃斯高通滤波器数学模型进行变换，在傅里叶逆变换得到新数据(For the entire three-dimensional image data Butterworth high-pass filtering (10-order twice), the first Fourier transform, use Butterworth high-pass filter to transform the mathematical model, the inverse Fourier transform to obtain new data)