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fftfenxi
- 本文通过matlab分析信号在不同采样频率和变换点数的FFT下的频谱图，研究采样频率和变换点数对信号FFT的影响。同时还讨论了信号在不同频带噪声背景下的采样频率和变换点数的选择。-In this paper, matlab sampling frequency of the signal at different points in the FFT and transform under the frequency spectrum, change the sampling frequency
Detecting-Cars-in-a-Video-of-Traffic
- 交通流量统计，交通背景提取，等等Detecting Cars in a Video of Traffic-Traffic statistics, traffic background extraction, etc. Detecting Cars in a Video of Traffic
matlab
- matlab图像增强，在图像处理中的意思是用户可以随意擦去图像中的一个物体，算法可以自动的用背景中的信息补去空洞，达到看不出来是处理过的效果，又叫inpainting，该程序由matlab写成，效果非常好，文档、演示、测试图像均齐全 -matlab image enhancement, image processing means that users are free to erase the image of an object, the algorithm can automaticall
Target-motion-detection---matlab
- matlab运动目标的一种背景消减的方法-Moving targets to reduce a background of the method
fuse
- 基于肤色的人脸检测，要求背景比较简单，下面的图片是取的其中的某一帧-Face detection based on skin color, requiring relatively simple background, the following picture is taken in which a frame
Wh2
- 基于背景差分的运动图像检测,对运动目标进行跟踪-Motion based on background difference image detection
Binaryzation
- 迭代法是基于逼近的思想，逼近的目标是使得：前景和背景的平均灰度值的平均值即为阈值。该方法的原理是：如果用某一阈值分割出的图像，其两部分平均值的中值，正好等于该阈值，那么这个阈值就是所求的阈值。-Iterative method is based on the approximation of the idea of approaching the goal is to make: the foreground and background is the average
visual-intelligent-surveillance
- 该代码用于实现视频监控/视觉监控/视频智能监控/视觉智能监控，具有友好的人机交互界面。在工作时，利用连接在计算机上的摄像头取得视频图像，通过背景减除、滤波、二值化处理、识别等技术，实现对视频目标的监控。-This code is applied to visual surveillance/video surveillance/visual intelligent surveillance/video intelligent surveillance which has a friendly h
finally
- 实现了车辆目标的背景建模、前景检测、阴影消除、车辆跟踪。-The vehicle to achieve the target of the background modeling, foreground detection, shadow elimination, vehicle tracking.
aver
- 用平均值法对图片序列经行背景建模，并保存。-Method of image sequences with the average background modeling by the line and save. （Attached picture)
MATLAB
- 该程序用MATLAB实现了目标的跟踪，它是静态背景为核心的。-Realize the target tracking
mixture_of_gaussians
- 这个程序是基于混合高斯背景模型的运动目标检测算法，m文件和所用视频放到matlab的工作目录下即可运行-This program is based on the Gaussian mixture background model of moving target detection algorithm, m, and used video files into matlab working directory to run
yuzhihuafenge
- 图像分割是把图像划分成具有实际意义的互补交迭的区域的集合。在图像分割之前，图像区域的数目未知，而在分割后各个区域同时满足均匀性和连通性的条件，故图像分割是一个复杂的过程，目前大多数研究都是针对某一类型图像或者某一具体应用的分割。图像阈值化分割的基本思想是确定一个阈值，然后把每个像素点的像素值和阈值相比较，根据比较的结果把像素划分为两类，前景(1)或背景(0)。该方法的关键是确定一个最优的阈值。常用的阈值确定方法有直接门限法、类间最大方差法(otsu法)、分水岭算法、最小误差法、最大熵法等。该段代
MATLAB
- 基于背景差的背景更新程序 ，把视频提出各个帧，新背景= beijinggengxin(更新到第几帧，旧的背景）-Based on the background of poor background update program, put forward each frame of video, new background = beijinggengxin ( updated to the first of several frames, old background )
JPEG-for-Matlab
- 利用图像中要提取的目标区域与其背景在灰度特性上的差异，把图像看作具有不同灰度级的两类区域(目标区域和背景区域)的组合-Combination of the target area with the background image you want to extract the difference in the grayscale characteristics of the image as the two types of regions with different gray level
face-recognition-matlab
- 人脸识别的MATLAB代码 介绍了人脸识别的应用背景，图像处理的MATLAB实现，人脸图像计算机系统，主要是基于直方图的人脸识别实现-MATLAB code for face recognition face recognition application background image processing in MATLAB, the face image of a computer system, face recognition is based on the histogram
airPLS-2.0-matlab
- 可用于拉曼光谱或色谱数据背景扣除的自适应迭代惩罚最小二乘方法-adaptive iteratively reweighted Penalized Least Squares (airPLS) method for background subtraction of Raman spectroscopy or chromatography data
matlab-design
- 阈值分割技术的关键在于阈值的确定，只有阈值确定好了才能有效的划分物体与背景，但这种方法只对于那些灰度分布明显，背景与物体差别大的图像的分割效果才明显。-Threshold segmentation technique lies in the determination of the threshold, only the threshold determination to the effective division of the object and the background, but
LabVIEW-VC-Matlab
- 由于各种编程语言特点各异,因此,在一个控制系统中经常出现几种编程语言共存的情况,它们之间的通讯就显得尤为重要。结合“973”项目为背景,阐述VC、MatLab、LabVIEW之间通过DDE 实现数据交换。-Due to different characteristics of a variety of programming languages, therefore, often in a control system in the coexistence of several programm
matlab
- 用数字图像处理的方法进行高速公路车流量的统计，在matlab平台上用的事背景差法。-Highway traffic volume statistics, the in matlab platform with the things background subtraction method of digital image processing.