资源列表
motinas_Room105
- OpenCV开发人员急需的视频序列 效果清晰 噪声极小-OpenCV developers needed a clear effect of noise minimal video sequences
04
- 根据遥感图像纹理所呈现的多尺度特性和随机的特性，采用基于小波域 隐马尔可夫树模型对纹理进行分析，并有机地结合遥感图像的要求和特点进行深入研究。 -According to remote sensing image texture features presented and random multi-scale features, based on wavelet domain hidden Markov tree model for texture analysis, and the
PCA-code
- 基于主成分分析方法的人脸重构，使用ORL人脸数据库-the face reconstruction based on PCA method
segment
- 基于VS2010的图像分割源码，包含一些常用的图像分割算法，如边缘检测、区域生长、阈值分割等，需添加灰度图调试-Based on the the VS2010 image segmentation source, contains some of the commonly used image segmentation algorithm, such as edge detection, region growing, thresholding, need to add the gray lev
piccolorcomparewithcrve
- 通过比较标准的100张图片和处理过后的100张图片，计算他们的不同，然后绘制出曲线,共针对4组400张图片进行处理，绘制出不同曲线-Calculate their differences by comparing the 100 images of the standard and the 100 images, and then draw the curve.
djvulibre-3.5.27
- 关于djvu文件的处理，jpeg等图像转换为djvu文件的相关源码。-About djvu file processing, jpg and other images are converted to the relevant source djvu file.
gougou23201016
- 实现对运动物体进行实时的检测，并且可实现运动目标物体与原始模板之间的匹配-To achieve real-time detection of moving objects, and can realize the moving target object and the match between the original template
netimageprogress
- vc++.net的图像处理，同名书的随书光盘。附带vc++的程序。-vc++. net image processing, the same name with the book CD-ROM book. Vc++ spin-off process.
VisualC
- VisualC数字图像处理技术详解 VisualC数字图像处理技术详解-Detailed digital image processing technology VisualC Detailed digital image processing technology VisualC Detailed digital image processing technology VisualC
ImgAnalysis
- NUDT数字图像分析课程设计，包括四个模块分别为人脸识别、运动目标检测、图像匹配、hough变换提取圆-NUDT digital image analysis program design, including the four modules are face recognition, object detection, image matching, hough transform to extract round
depthmap
- 文章High Quality Depth Map Upsampling for 3D-TOF Cameras的源码-The source code of High Quality Depth Map Upsampling for 3D-TOF Cameras
face_detect
- python dlib实现实时监测视频中人脸(Python Dlib for real-time monitoring of face in video)