资源列表
Visual-CPP-fingerprint_5
- 精通Visual C++指纹模式识别系统算法及实现-Proficient in Visual C++ fingerprint pattern recognition system algorithm and implementation
PictureViewerDemo
- 图像处理的，可对图像进行放大缩小，可查看图像的上一张和下一张。-Image processing, the image can zoom in to view images on one and the next one.
CDib
- dib图像的读取，显示以及存储，能够运行-dib image read, display, and storage, and be able to run
getbmp1
- 读取bmp格式的图像，彩色图像，灰度图像都可以，适合图像处理前期读取工作-Readbmpformat image, color image,grayscale imagesaresuitable for image processingworkearlyreading
image-rescevory
- 图像篡改检测恢复的相关文章，主要是用自嵌入数字水印来处理-image tampering detection and recovery
MFTV
- 图像超分辨率程序，基于稀疏表示和正则化方法，程序带有注释，提供相关论文. 可以直接运行. -Matlab code about super-resolution, based on sparse representation and regularization. The codes include annotation. Related paper also provided
Digital-Image-Processing-
- 内容包括： 数字图像处理(冈萨雷斯matlab版)工具包 dipum_1.1.3 冈萨雷斯数字图像处理matlab版源码 冈萨雷斯数字图像处理MATLAB版图片-Include: Digital image processing (Gonzalez Matlab version) Kit dipum_1.1. 3 Gonzalez Digital Image Processing Matlab version source Gonzalez Digital Image
gaosi
- 高斯混合模型算法实现c++，高斯混合模型就是用高斯概率密度函数（正态分布曲线）精确地量化事物，它是一个将事物分解为若干的基于高斯概率密度函数（正态分布曲线）形成的模型-Gaussian mixture model algorithm c++, Gaussian mixture model is a Gaussian probability density function (normal distribution curve) to accurately quantify things, it
modeling
- 自己写的基于轨迹分析和超像素分割的运动目标提取算法-Write their own moving object extraction algorithm based on trajectory analysis and super-pixel segmentation
scene_labeling_cvpr2012_v1
- 基于场景的超像素图像分割，可以实现快速分割，基于深度信息和颜色信息的检测-Based on ultra-pixel image to divide the scene, you can achieve rapid segmentation, detection based on the depth information and the color information
kinect-beta
- 在Visual C++平台上用MFC实现了Kinect深度图和彩色图的实时采集，并对齐裁减-In Visual C++ platform using MFC to achieve a Kinect depth chart and color chart real-time acquisition and alignment cuts
digital-image-processingl
- 《数字图像处理与机器视觉 Visual C++与Matlab实现》一书的源码-Projection distortion correction including vehicle license plate, various standard image processing algorithms, digital recognition system based on artificial neural network, face recognition system based on sup