资源列表
EDLinesTest
- EDLines是一种快速直线检测算子,2012年在ICCV上提出,也是目前处理直线检测最快的算法之一,该算法包含三个步骤:(1)边缘提取:利用Edge Drawing (ED)算法[28,29]从灰度图像中提取边缘片段;(2)线段检测:利用最小二乘法提取直线段;(3)线段确认:遵循Helmholtz定律,从已提取的直线段中摒弃虚假线段。EDLines算法的优越性得益于Edge Drawing (ED)算法能够从灰度图像中准确、快速、稳定地提取出光滑、完整的边缘片段。Edge Drawing (E
TwoPass
- 连通域标记程序-两边扫描法 two pa-connect component label
quadtree
- matlab实现的四叉树分割代码,可以直接调用,效果较好-Matlab quadtree segmentation code, can be called directly, the effect is better
fusion
- 本代码用于进行红外、可见光的图像融合。采用LP、RP、DWT、DTCW、TVT、NSCT、LP-SR、RP-SR DWT-SR、DTCWT-SR、CVT-SR、NSCT-SR的具体实现。-The code used for the infrared, visible light image fusion. Using LP, RP, DWT, DTCW, TVT, NSCT, LP-SR, RP-SR DWT-SR, DTCWT-SR, CVT-SR, NSCT-SR concrete re
Image_processing_quality_evluation
- 图像处理(图像融合,图像加密等)的性能评价指标集包括:平均梯度,边缘强度,信息熵,灰度均值,标准差(均方差MSE),均方根误差,峰值信噪比(psnr),空间频率(sf),图像清晰度,互信息(mi),结构相似性(ssim),交叉熵(cross entropy),相对标准差。-Image processing,average gradient, edge strength, information entropy, gray mean, standard deviation (variance (M
FrMT
- 分数梅林变换(FrMt),相当于对数极坐标变换下的分数傅里叶变换(FrFT),能通过测试。- The fractional Fourier transform (FrMt), which is equivalent to the fractional Fourier transform (FrFT), which is equivalent to the log polar coordinate transformation, can be tested.
keypoints_editor
- 人脸特征点编辑器能够自动标注人脸上的68个特征点-Facial feature points editor can automatic tagging a person on the face of 68 feature points
PCA_change_detecttion
- 变化检测的常用方法:基于pac的变化检测方法,结果很好!-Common method of change detection: pac change detection method based on the results of good!
smoke_detection
- 使用VS2010+openCV。本文是基于颜色模型和运动模型对含有烟雾的视频进行烟雾检测的。首先利用RGB颜色模型的方法,检测出烟雾区域以及疑似烟雾区域;接着用背景相减的方法,检测出运动的物体;最后结合两种方法,只检测出运 动的烟雾区域,提取烟雾最大轮廓,绘制矩形框以示意。通过设置R、G、B的参数及阈值,可以得到满意的效果。 -Use VS2010+openCV. This paper is based on the color model and motion model for sm
FireDetection115110001056
- 本文是基于HSI模型对含有火焰的视频进行火焰检测的,通过设定一定的饱和度和颜色分量r的检测阈值,再来进行火焰的检测,并绘制火焰边缘图像。 -This paper is based on the HSI model for flame detection of video containing flame, by setting a certain degree of saturation and color component r detection threshold, then the
KSVD_Matlab_ToolBox
- 基于KSVD算法的图像去噪算法,稀疏表示,字典学习,OMP算法,基于DCT字典的图像去噪,demo可以直接运行。-Image denoising by KSVD algorithm,spare representation,dictionary learning,OMP algorithm,DCT dictionary
BOVW_Class_DEMO
- Matlab实现BOVW模型,特征提取采用SIFT算法,字典学习采用k-means聚类学习,数据集采用UCM21类分类信息-Matlab achieve BOVW model, feature extraction algorithm using SIFT, dictionary learning using k-means clustering, data collection using UCM21 class category