搜索资源列表
harris
- 移动目标的角点特征提取算法 harris 改进后的算法-Moving target corner feature extraction algorithm improved algorithm harris
bingyeCut
- 图像特征分割方法很多,在matlab环境中基于CV水平集的图像特征识别与分割可以高效实现图像目标部位提取。-Image segmentation method many features in matlab environment CV level set based image feature recognition and image segmentation can be achieved efficiently extract the target site.
project_18_sobel
- 实现视频处理中的sobel算法,提取图像的特征,是目标物提取必须的步骤。- Sobel for video processing algorithms
Image-Co-Occurrence
- 图像直方图特征提取,目标识别,视觉注意,图像信息提取-visual saliency analysis
roi
- 对于一幅图像,很多时候我们感兴趣的是图像中的某部分,同时有时候要对目标进行跟踪时,需要选取目标特征,所以要提取图像的感兴趣区域。使用cvsetImageROI函数-For an image, many times we are interested in a certain part of the image, sometimes at the same time to the target track, you need to the target feature, so you want
2005-Kernel-RX-AlgorithmA
- 非线性核RX算法(KRX算法)来完成异常目标检测,不仅有效地利用了高光谱图像波段间的高阶统计特性和非线性信息,而且避免了对高维数据的特征提取,从而降低了算法的复杂度.-Nonlinear nuclear RX algorithm (KRX algorithm) to complete anomaly detection, not only the effective use of higher-order statistical characteristics of hyperspectral
0LSH
- 局部敏感直方图特征算法matlab实现,可以应用在可视化目标追踪文本特征提取中,代码通过测试,可以直接使用-Visual Tracking via Locality Sensitive Histograms, which can be used in Computer Vision and Pattern Recognition
DeepLearnToolbox_CNN_lzbV2.0
- DeepLearnToolbox_CNN_lzbV2.0 深度学习,卷积神经网络,Matlab工具箱 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusberg
DeepLearnToolbox_CNN_lzbV3.0
- CNN - 主程序 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusbergpalm/DeepLearnToolbox 作者:陆振波 电子
GBVS
- 基于视觉图论的运动目标检测识别,可以通过提取运动目标特征来检测运动目标-Visual graph theory based moving target detection and recognition, you can extract the moving target signatures to detect moving targets
1
- 讲述了基于人体关节点的步态识别技术。步态识别是指根据人走路的姿势及动力学特征来识别人的身份,包括人体运动目标检测、特征提取和分类识别三个过程。本文在对各种步态识别算法进行了详细研究的基础上,对核心环节暨特征提取过程进行了主要研究,提出了相应的新的改进算法。-Gait recognition is defined to identify the identity of the person as the way peoplewalk and kinetic characteristics.I
qqdsnpup
- 是学习PCA特征提取的很好的学习资料,puhUUvB参数合成孔径雷达(SAR)目标成像仿真,加入重复控制,旋转机械二维全息谱计算,yAqMiMf条件线性调频脉冲压缩的Matlab程序,包括面积、周长、矩形度、伸长度。- Is a good learning materials to learn PCA feature extraction, puhUUvB parameter Synthetic Aperture Radar (SAR) imaging simulation target, J
gsjcpivm
- FMCW调频连续波雷达的测距测角,各种资源分配算法实现,是本科毕设的题目,多目标跟踪的粒子滤波器,是学习PCA特征提取的很好的学习资料,合成孔径雷达(SAR)目标成像仿真。-FMCW frequency modulated continuous wave radar range and angular measurements, Various resource allocation algorithm, The title of the commercial is undergraduate
nuskkfbq
- 是学习PCA特征提取的很好的学习资料,添加噪声处理,对HARQ系统的吞吐量分析,粒子图像分割及匹配均为自行编制的子例程,多目标跟踪的粒子滤波器,采用了小波去噪的思想。-Is a good learning materials to learn PCA feature extraction, Add noise processing, HARQ throughput analysis of the system, Particle image segmentation and matching s
nxniayqb
- FIR 底通和带通滤波器和IIR 底通和带通滤波器,有PMUSIC 校正前和校正后的比较,用于信号特征提取、信号消噪,欢迎大家下载学习,PLS部分最小二乘工具箱,多目标跟踪的粒子滤波器。- Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, A relatively before correction and after correction PMUSIC, For feature extr
bafqumpx
- 用于信号特征提取、信号消噪,多目标跟踪的粒子滤波器,实现了对10个数字音的识别程序本程序的性能已经超过其他算法,这个有中文注释,看得明白,时间序列数据分析中的梅林变换工具。- For feature extraction, signal de-noising, Multi-target tracking particle filter, Realization of 10 digital audio recognition program This program has exceeded th
cfathsqx
- 多元数据分析的主分量分析投影,多目标跟踪的粒子滤波器,用于信号特征提取、信号消噪,各种kalman滤波器的设计,利用matlab GUI实现的串口编程例子,相关分析过程的matlab方法。-Principal component analysis of multivariate data analysis projection, Multi-target tracking particle filter, For feature extraction, signal de-noising, Va
nunngjeq
- 包含位置式PID算法、积分分离式PID,用于信号特征提取、信号消噪,多目标跟踪的粒子滤波器,基于SVPWM的三电平逆变的matlab仿真,BP神经网络用于函数拟合与模式识别,相控阵天线的方向图(切比雪夫加权)。-It contains positional PID algorithm, integral separate PID, For feature extraction, signal de-noising, Multi-target tracking particle filter, B
pjsggrdb
- 实现了对10个数字音的识别程序是学习PCA特征提取的很好的学习资料,最大似然(ML)准则和最大后验概率(MAP)准则,多目标跟踪的粒子滤波器,数学方法是部分子空间法,时间序列数据分析中的梅林变换工具。-Realization of 10 digital audio recognition program Is a good learning materials to learn PCA feature extraction, Maximum Likelihood (ML) criteria an
qekxpxew
- 用于信号特征提取、信号消噪,到达过程是的泊松过程,计算加权加速度,Relief计算分类权重,分析了该信号的时域、频域、倒谱,循环谱等,合成孔径雷达(SAR)目标成像仿真。- For feature extraction, signal de-noising, Arrival process is a Poisson process, Weighted acceleration, Relief computing classification weight, Analysis of the sig