搜索资源列表
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实现帧差法求背景的matlab程序和示例图片-Frame-difference method to achieve the background image matlab procedures and sample
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数字图像处理骨架提取，能将一个二值图像的骨架提取出来进行后续处理。骨架是一种非常重要的图像几何特征，在图像几何形态分析及相关领域具有非常广泛的应用，利用骨架表示原始图像，可以在保持图像重要拓扑特征的前提下，减少图像中的冗余信息。骨架既能压缩图像数据，保留区域的连通性和拓扑性，描述区域轮廓的几何特征，又能使原始图像完全或部分地从骨架中恢复或重构。-Skeleton extraction of digital image processing, to a binary image of the sk
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从AVI视频中读取每帧图像的数据，matlab程序，readavi.m-AVI video read from each frame image data, matlab procedures, readavi.m
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VideoControl - launch a GUI to control image acquisition session: The GUI will help you in: craeting the video object, previewing and snap shotting, controlling frame grabber parameters, saving data to a file, creating movies and more-VideoControl-
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avi视频提取出书帧图像，然后对图像进行处理，经过处理后的图像帧再写成另一段的avi视频。-avi video video frame extracted, processed image frame, and then the images will be referred to the district into another frame of video avi.
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这是我读硕时 师兄让我写的把AVI视频转成一帧帧图像的代码 绝对好用 文件夹理有我的联系方式 有问题问我-This is when I read Augmentum师兄let me write the AVI video into a frame image of the code is absolutely easy to use folder justifications have my contact there asked me the question
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The application works with non-compressed grayscale AVI files. Run mainGUI.p. Load AVI file first using "Load". To process the next frame use "Step". To run the application until stop, use "Run" and "Stop". You
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This project deals with the tracking and following of single object in a sequence of frames
and the velocity of the object is determined. Algorithms are developed for improving
the image quality, segmentation, feature extraction and for deterring
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对音频信号分帧加窗,对每帧进行三阶小波变换,取其逼近系数平均值(一般为零).在此嵌入二值图像 并有对潜入水印信号进行盲检,恢复其嵌入水印-Sub-frame of the audio signal increases the Hamming window for each frame impletment third-order wavelet transform, whichever is close to the average coefficient (usually zero). a
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本文提出一种在原始视频DCT(离散余弦变换)与SVD(奇异值分解)域自适应嵌入水印的算法。算法首先将视频流分割成一个个场景,场景中的视频图像被变换到DCT-SVD域中,水印量化嵌入在最大奇异上,实现了水印盲检测。同时实验证明该算法在满足透明性要求下也满足一定的鲁棒性要求,能够抵抗低通滤波、中值滤波、椒盐噪声、高斯噪声、H.264压缩攻击以及统计攻击和帧剪切等攻击。-This paper presents an original video in the DCT (Discrete Cosine
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Data hiding in the still image presets a variety of challenges that arises due to the way human visual system (HVS) works and the typical modifications that image undergoes. Additionally, still images priced a relatively small host signal in which to
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实现对视频图像的游程编码和解码。过程包括：二维DCT变换、量化及游程编码。
一般来讲对于视频的I帧进行恢复，其信噪比可达到38DB以上。-Implementation of the video image encoding and decoding run-length. Process includes: two-dimensional DCT transform, quantization and run-length encoding. In general, I frame for
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包括两个MATLAB程序，一个读取AVI视频，并转换成一帧帧图片；两一个程序读取图片，并把这些图片转换成视频。-Consists of two MATLAB program, a read AVI video, and convert it into a frame picture 21 program reads the image and put these pictures into video.
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Object tracking in computer vision refers to the task of
tracking individual moving objects accurately from one
frame to another in an image sequence. Several tracking
methods have been proposed in the recent literature
capable of coping with
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将视频图像转换成图片序列的形式，获得帧图像。-The video image is converted into a sequence of pictures form, obtain image frame
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基本的图像采集流程：
本文通过实现一个简单的运动检测程序来说明创建图像采集程序。
本程序通过对平面上未来图像帧进行像素对像素的比较类完成运动检测。
如果没有物体运动，那么各帧的像素值保持不变。否则，对应像素的值将发生变化。(Basic image acquisition process:
In this paper, a simple motion detection program is implemented to illustrate the creation of image a
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matlab视频转换成每帧图像，并输出到一个文件夹(The video is converted to each frame image and output to a folder.)
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对人脸图像的识别，鉴别照片是否为人脸图像，并框出人脸主要部位(Of face image recognition, to identify whether for face image, the main part and frame the face)
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读入YUV文件一帧图像数据，转换为RGB并显示各分量(Read a frame of image data from a YUV file, convert it to RGB and display the components)
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1.基本内容
本设计目标在于利用Matlab强大的图像处理能力和实用便捷的编程方法，通过处理包含人脸的视频帧系列图像，灰度积分投影技术的眼睛定位方法，进而利用perclos计数，计算眨眼率，从而得到比较准确的疲劳状况。
2.具体要求
本设计基于灰度积分投影技术的眼睛定位方法，再结合perclos技术。首先通过图像预处理技术得到灰度分配较为均匀的图像,然后分别利用水平和垂直灰度积分投影曲线结合人脸的结构特征找到眼睛的位置坐标,实现了准确的眼睛定位,通过perclos技术技术眨眼率，根据先
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