资源列表
SRC
- 稀疏表示分类算法在ORL人脸库上的实验，参考文章： Wright J, Yang A Y, Ganesh A, et al. Robust face recognition via sparse representation[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2009, 31(2): 210-227. -Sparse representation classification algo
FMR
- 利用FMR算法，实现对图像的增强，效果还可以；如果对图像进行拉伸处理会更好，但对有些图像需要特殊处理，如有需要可以联系me，1072104181@qq.com-By using the FMR algorithm to enhance image , and the effect is good the performance weill be better if the image had been stretched , but it need special treatment for
CSF
- 求图像的JND值，其中包括JND中三个要素分别的代码，和整合代码-Caculate JND values of the image. Including three elements respectively in the JND code,and integration code.
image-registration
- 一个完整的基于互信息的图像配准程序，包括ＰＯＷＥＬＬ和ＰＳＯ两种优化算法，可对有平移和旋转的两幅图像实现准确配准。-A complete image registration based on mutual information procedure, including two POWELL and PSO optimization algorithm can be run properly.
face-recognition-PDF
- 一种局部敏感的核稀疏表示分类算法_张石清_赵小明_楼宋江_闯跃龙_郭文平_陈盈 一种融合多模式韦伯局部特征的人脸识别方法_李昆明 自适应阈值及加权局部二值模式的人脸识别_张洁玉-A topical sensitive nuclear sparse representation classification algorithm _ _ House Song Jiang Zhao Xiaoming Zhang Shiqing _ _ _ Chuang Chen Ying Guo Wenpin
findpcitureSearchPicturevb6
- vb仿大漠屏幕找图，速度极快 屏幕找色点 图像查找visualbasic vb6找图 vb 仿大漠屏幕找图，速度极快 屏幕找色点 图像查找visualbasic vb6找图 -VB,VB6,VISUAL BASICK ,FIND PICTURE ,QUICK SEARCH IMAGE.SEARCH PICTURE
KSVD-for-image-denoise
- KSVD用于稀疏字典的训练，稀疏表示用于图像去噪-An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
BinImageHough
- 自己编写的matlab函数用于对图像倾斜进行自动校正，效果非常理想，对于条纹形的图像。-I have written matlab function is used to automatically correct image tilt, the effect is very ideal for stripe-shaped images.
rcnn
- RCNN,Region Based CNN,即基于区域的卷积神经网络代码，在许多数据集上刷新了识别记录，这是其实现代码，研究深度学习的同学可以下载，比较有帮助。-RCNN, Region Based CNN, namely the convolution neural network code based on the region in many data sets refresh identification record, this is the realization of the co
cnotch
- 圆对称陷波滤波器 一种比较有效的滤波方式，可以自动生成相对应的凹陷。-Generates circularly symmetric notch filters
SRCNN_v0.1
- 香港中文大学汤晓鸥教授 使用卷积神经网络（CNN）实现超分辨率-Professor Tang Xiaoou Chinese University of Hong Kong using convolution neural network (CNN) to achieve super-resolution
street1
- 对红外热感相机采集的图像进行处理，采用混合高斯模型进行前景提取，实现对画面里人的跟踪-Infrared thermal camera captured images are processed using Gaussian mixture model foreground extraction, to achieve the picture tracking