JDImgRect

在工程运用中，我们往往在卡尔曼滤波器后端连接平滑滤波器构成平滑卡尔曼滤波器，来加强滤波性能的改善，程序通过简单输入信号 在增加随机观测噪声情况下 在平滑卡尔曼滤波前后进行观测对比，可得平滑卡尔曼滤波性能得到了改善。(In engineering application, we often back-end connections in the Kalman filter Kalman smoothing filter the smoothing filter, to enhance filter performance improvement program by simply increasing the input signal in the case of random measurement noise Kalman filter before smoothing contrast observation can be obtained Kalman smoothing performance is improved.)

基于梯度下降的稀疏约束 NMF 算法(NMFsc)，之前pudn上也有类似的，但缺少一个程序，这里面都包括了 (Based on gradient descent sparse constraint NMF algorithm (NMFsc), before the pudn has a similar, but the lack of a program, there are included)

局部拉普拉斯滤波代码，效果很好，可以直接运行(Edge-aware Image Processing with a Laplacian Pyramid)

MATLAB程序附图像,利用灰度AGV对路径进行识别,,(MATLAB image attached, using gray AGV right path for identification,,)

该图像包含了各种细节、平滑区域、阴影和纹理，这些对测试各种图像处理算法很有用。(The image contains a variety of detail, smooth areas, shadows, and textures, which are useful for testing various image processing algorithms.)

对图像灰度二值化，提取图像中某个色彩的部分并分割(The image is binarized and the part of a color in the image is extracted and segmented)

双峰法分割图像是一个比较经典的同时也是一个比较使用的图像分割方法(The bimodal France segmented image is a classic is also a use of image segmentation method)

数字音频水印的嵌入，提取，然后进行攻击性实验，检验其鲁棒性(Digital audio watermark embedding and extraction, and then attack experiment to test its robustness)

可用于医学图像处理的分水岭算法，可以输入黑白图像，生成彩色分割图像(Can be used for medical image processing of the watershed algorithm, can enter a black-and-white images, color segmentation image generated)

基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现，对全面深入理解Lowe的SIFT算法有莫大帮助。程序运行前须安装（1）OpenCV: http://opencvlibrary.sourceforge.net （2）SIFT: http://web.engr.oregonstate.edu/~hess/index.html，并配置其环境参数。(OPENCV the SIFT-based feature extraction and matching algorithm. Contains a complete Gaussian pyramid from the image, DOG, space extremum point extraction, description of key points, KDtree matching key step in the realization of the full function of the comprehensive and in-depth understanding of Lowe s SIFT algorithm of tremendous help. Program to run before the installation of (1) OpenCV: http://opencvlibrary.sourceforge.net (2) SIFT: http://web.engr.oregonstate.edu/ ~ hess/index.html, and configure the parameters of their environment.)