subpixel

说明：  利用小波变换技术实现，最简洁的图像融合例子(image fusion.The simplest example of image fusion using wavelet transform technology.)

空间域图像处理，图像增强。计算相关，卷积，高斯平滑等滤波图像处理代码。(Spatial domain image processing, image enhancement. Computation, convolution, gaussian smoothing image processing such as filtering code.)

基于纹理和边缘方向特征融合的目标跟踪程序代码，是基于mean shift框架的(This paper proposes a powerful and robust local descriptor,called textureorientation descriptor(TOD). TOD consists of two components: texture and orientation. Considering that the human shape shows more short, fragmentary and vertical edges, the proposed TOD descriptor encodes the spatial information of pedestrian image. We combine the proposed TOD representation model with mean shift framework to perform pedestrian tracking. Results from experiments show the improved performance of the proposed algorithm, in the scenarios of heavy occlusions, illumination variations and similar objects interference, when compared with the other descriptors based trackers.)

说明：  图像融合程序大全 （有图）包括IHS PCA 拉普拉斯 PCNN 小波 超好！(the total of image fusion (pictures))

VC development motion control routines, vb development 12 axis motion control routines

说明：  matlab下的相机标定工具箱，包含角点检测，求取相机内参，误差分析，求相机外参，图像校正等多种功能。附带有实验用的20张图像。(matlab under the camera calibration toolbox, including corner detection, strike the camera restricted reference materials, error analysis, seeking the camera outside the parameters, image correction, multiple functions. Comes with the 20 experimental images.)

说明：  将ply格式的3D物体文件导入Matlab中，并且可以把Matlab中的Patch object导出成ply格式。(Ply format to 3D objects in the file into Matlab, and Matlab can be derived in the Patch object into a format ply.)

两张图片相减 散斑干涉图像获取 Two image subtraction Two image subtraction(Two image subtraction Two image subtraction Two image subtraction)

说明：  傅立叶变换在图像处理中的重要作用： (A) 图像增强与图像去噪 绝大部分噪音都是图像的高频分量，通过低通滤波器来滤除高频噪声；边缘也是图像的高频分量，可以通过添加高频分量来增强原始图像的边缘； (B) 图像分割与边缘检测 提取图像高频分量 (C) 图像特征提取 形状特征：傅里叶描述子 纹理特征：直接通过傅里叶系数来计算纹理特征 其他特征：将提取的特征值进行傅里叶变换来使特征具有平移、伸缩、旋转不变性 (D ) 图像压缩 可以直接通过傅里叶系数来压缩数据；常用的离散余弦变换是傅立叶变换的实变换； (Fourier transform in the important role of image processing: (A) image enhancement and image denoising Most of all images of high frequency noise by low pass filter to filter out high frequency noise edge is the image of the high frequency components can be enhanced by adding high frequency components to the edge of the original image (B) Image segmentation and edge detection High frequency components extracted image (C) image feature extraction Shape features: Fourier descriptors Texture: directly through the Fourier coefficients to calculate the texture features Other features: The characteristic value extracted by Fourier transform to the characteristics of translation, scaling, rotation invariance (D) image compression Fourier coefficients can be directly compressed data commonly used discrete cosine transform is the Fourier transform of the real transformation 朗读显示对应的拉丁字符的拼音)

Brown noise generated in Matlab