data_fusion_tools

说明：  摄像头条形码识别，可以发送命令识别后，展示识别码质量(ShopSavvy Barcode Scanner)

冲击滤波模型是用用于图像边缘增强的一种常用算法(Impact filtering model is a commonly used algorithm for image edge enhancement)

JSteg对图像的DCT域进行信息隐写，并重构图像，再对重构的图像进行隐藏信息读取(JSteg steganates the DCT domain of the image, reconstructs the image, and then reads the hidden information from the reconstructed image.)

基于点云的谷脊线特征提取算法研究：提出一种基于多步逼近策略的点云特征提取算法(Exaction of ringle and ravine.)

基于MATLAB图像处理的车辆检测与识别（可以看看）基于MATLAB图像处理的车辆检测与识别（可以看看(MATLAB image processing based vehicle detection and recognition (can see) MATLAB image processing based vehicle detection and recognition (can see)

这个函数分配一个数据缓冲区与多个颜色指定系统上的乐队。这种类型的缓冲区允许表示彩色图像(例如,RGB)。 这个函数为每个指定分配缓冲区,一个二维表面颜色乐队。您可以使用MbufAlloc1d()和MbufAlloc2d()来创建单独的乐队一或二维 数据缓冲区,分别。 分配一个缓冲区后,我们建议您检查是否操作成功,使用MappGetError(),或通过验证,不是M_NULL返回的缓冲区的标识符。(This function allocates a data buffer with multiple color bands on the specified system. This type of buffer allows for the representation of color images (for example, RGB). This function allocates buffers that have a two-dimensional surface for each specified color band. You can use MbufAlloc1d() and MbufAlloc2d() to create single band one- or two-dimensional data buffers, respectively. After allocating a buffer, we recommend that you check if the operation was successful, using MappGetError(), or by verifying that the buffer identifier returned is not M_NULL.)

MATLAB编写的增强图像分辨率的程序，可以提高图像分辨率，使图像更加清晰。(Written MATLAB program enhanced image resolution, image resolution can be improved to make the image clearer.)

机器视觉开发平台

说明：  利用matlab实现图像的直接反投影重建结果(Using Matlab to Realize Direct Back Projection Reconstruction Results of Images)

一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒(A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP conditions for multi-scale image feature dimension reduction, and then use the naive Bias classifier simple classification in the feature reduction after the. The tracking algorithm is very simple, but the results are robust, speed can reach 40 frames per second)