特征选择算法 SVMRFE

视频演示算法包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 (Algorithm for video presentation include: 1. Static background background prediction target detection 2. Static background frame difference method for target detection 3. Mean Shift tracking method 4. Gravity multi-target tracking method)

根据国外文献算法中所写的MATLAB代码，实现肤色检测与轮廓提取。(According to foreign literature written in MATLAB code algorithm to achieve skin color detection and contour extraction.)

说明：  该压缩包内含有基于梯度金字塔变换的多模态图像融合方法的MATLAB代码，可以直接运行，得到融合结果。另外，压缩包内包括了多组已配准、待融合的图像示例，具体包括红外图像与可见光图像、CT与MR图像，多聚焦图像。本人还对代码进行了必要的解释。推荐下载(The compression package contains matlab code of multimodal image fusion method based on gradient pyramid transformation, which can be run directly to get fusion results. In addition, the compressed package includes several groups of images that have been registered and to be fused, including infrared images and visible images, CT and MR images, and multi focus images. I also gave the necessary explanation to the code. Recommended download.)

载入一副图像并进行平滑处理与高斯或其他核函数进行卷积有效的减少图像信息内容(Loading an image and smoothed with a Gaussian or other nuclear convolution function effectively reduce the information content of the image)

对于原始图像 < f5.tif > ，实现下列结果。 a.用平均滤波器平滑原始图像得到的模糊图像 b.用拉普拉斯算子增强上述a得到的模糊图像 c.用拉普拉斯算子增强原始图像 (For the original image <f5.tif>, to achieve the following results. a. smoothing filter with an average original image was blurred b. using Laplacian enhancement get a blurred image above c. using Laplacian enhancement of the original image)

水表图像识别 图像预处理 哈哈就不懂四周(Water Meter Image Recognition)

说明：  用matlab编写的图像复原源代码，采用维纳滤波复原技术，可对模糊和加噪的图像实现精确复原。(Prepared using matlab source code image restoration using Wiener filter restoration technology, can be vague and processors realize accurate image noise resilience.)

说明：  实现指纹识别中的指纹图像预处理中的方向场，细化等，含有一个GUI界面(pre-process of figure print image)

说明：  对影像进行SavitzkyGolay平滑，去除噪点(To smooth the image and remove the noise)

说明：  [Wang 2011]The Meaning of Interior Tomography