资源列表
face-Bayes-BernoulliNB
- 用贝叶斯中的努伯利类实现人脸识别，结合PACK算法实现(Bayesian face recognition in Nuboli, combined with PACK algorithm)
face-Adaboost
- 用Adaboost和PCA算法实现人脸识别，用Python写的代码，根据经典的PCA和SVM算法改编(Adaboost and PCA algorithm for face recognition, code written in Python, adapted from the classic PCA and SVM algorithm)
myContourLet-master
- 图像contourlet变换，用于图像的分解、重构，从而进行图像融合(image conturlet transform,Used for image decomposition and reconstruction, thus for image fusion)
76127424Ocr
- OCR字符识别源代码用于文字识别，图片识别，准确度高(OCR character recognition source code)
canny
- Canny 的目标是找到一个最优的边缘检测算法，最优边缘检测的含义是： (1)最优检测：算法能够尽可能多地标识出图像中的实际边缘，漏检真实边缘的概率和误检非边缘的概率都尽可能小。本程序利用Canny算子实现图像边缘的提取(Image edge extraction by Canny operator)
ShootTarget
- 通过opencv消除图像畸变，识别靶标上的环数(Identifying the number of rings on the target)
计算机图形学-实验（含OpenGL开发库）
- 计算机图形学相关的一些简单实验，适合新手学习。(Some simple experiments related to computer graphics are suitable for beginners.)
quwu
- 去雾算法实现对于图片的水雾等噪声简化以及去除作用，使得图片能被更好的识别。(The fogging algorithm simplifies and removes the noise,such as the water fog of the picture,so that the image can be better identified.)
CVmodel
- 主动轮廓模型 chan vese模型 内含实验图片(Active contour model Chan Vese model contains experimental pictures)
hWindow缩放+状态栏显示鼠标点的灰度值
- hWindow缩放+状态栏显示鼠标点的灰度值(The hWindow zoom + state bar displays the gray value of the mouse point)
ImageProcessing
- 根据大牛自己整理的关于BMP图像的一些基本操作(Some basic operations on BMP images, based on the Daniel's idea)
Debug
- opencv实现视频处理运动目标检测，使用帧差法，但是易受背景噪声影响(Opencv implements video processing moving target detection, using frame difference method, but it is easily affected by background noise.)