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Tracking
- 该技术用修正的最大类间方差法分割亚图像,聚类并去除强背景干扰区域,对可能目标区域能量进行统计,选 择区域能量最大者进行逐帧实时锁定跟踪,并对该技术的实时性进行了分析。 - The image is segmented and fallen into two classes by the modifiedmethod of maximal variance of classes, then regions with intense background interference are
colorguide
- 使用采样来确定目标区域的阈值,已分割图像。-This program is used to segment areas from an image and pick up some objects which satisfies ordered features. Firstly, you can use your mouse cut off an area as a sample. Moreover, the program will show you the output gray im
oushi
- 基于欧氏距离求解带状区域二值图的目标区域宽度-Solving Euclidean distance-based binary image of the band region the width of the target area
MouseTest
- 鼠标监听事件模拟,在一个目标区域画出标准矩形框,分别展现鼠标双击,单击,移动时生的事件。-Mouse listener event simulation, the target area to draw in a standard rectangular box, respectively, show the mouse double click, click, moving raw events.
detect
- 该程序基于运动区域和运动区域外截矩形进行运动目标检测 -Based on motion region and exercise outside cutting a rectangular moving target detection
Image-segmentation
- 图像的阈值分割。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,选取一个比较合理的阈值,以确定图像中每个像素点应该属于目标区域还是背景区域,从而产生相应的二值图像。 -Image segmentation. Used to extract the target image and its background in the grayscale characteristics of the regional difference
my_ROI
- 在图像处理中,经常需要对目标或者感兴趣区域进行提取,这是一个对感兴趣区域进行提取的matlab程序-in the image processing ,the intrest region
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- :针对字符号码类目标,提出一种无需全图阈值分割和先验特征匹配计算的方法。先利用 方向梯度块精确定位目标,再对目标区域作局部阈值分割,从而快速地得到高质量的目标信息。-: Number of classes for the characters, we put forward a complete map without a priori segmentation and feature matching calculation. Gradient direction of the first
camshift-code
- camshift目标跟踪代码:跟踪摄像头或者视频文件中的手动画出的目标区域-the code for camshift object detection and tracking
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- meanshift算法实现目标的跟踪,由视频序列文件中提取出第一帧,定义目标区域,进行跟踪,动态显示跟踪结果 比较简单 已验 无错-meanshift target tracking algorithm, the video sequence to extract the first frame of the file, define the target area, tracking, dynamic display has been tracking the results of relat
ImageLabelAndArea
- 该文件夹中有二个M文件,说明如下: label_area.m : 目标区域面积测量主函数,其中调用otsu otsu.m : 类判别分类法(otsu全局二值化算法) 4A.bmp face.bmp gun.bmp : 原始灰度图片 AreaAnalysis.txt : 记录了实验过程中目标区域的总数和各自的面积 实验结果文件夹 : 保存了实验过程中生成的图像和程序流程图-The folder has two M-file, as
ImageBoundaryExtraction
- 该文件夹中有六个M文件,说明如下: boundary_extraction.m : 目标区域边界抽取主函数,其中调用ostu、four_neighbor、eight_neighbor、globe_graph otsu.m : 类判别分类法(otsu全局二值化算法) four_neighbor.m : 四邻域法边界抽取 eight_neighbor.m : 八邻域法边界抽取 globe_graph.m : 全局检测法边界抽取 area_peri.m : 目标区域
background
- 用于分离目标区域和背景区域的MATLAB程序,有较好效果-For the separation of the target area and background area of the MATLAB program, have better results
lunkuo
- 本代码基于opencv2.2,轮廓检测,输入图像,进行边缘检测并将图像区分为背景和目标,二值化,用轮廓把目标区域显示出来,还可得到目标区域内的面积,即目标的大小-The code is based on opencv2.2, contour detection, the input image, edge detection and image area is divided into the background and objectives, the two values, the targ
yuan
- 通过对各区域进行圆形度分析,设定圆形度阀值过滤非目标区域-Through the analysis of the circular area, set the threshold degree of filtering non-circular target area
cvwork_correlation
- 使用vc++6.0和opencv1.0实现的模板与目标图片的匹配,用模板图像通过依次与图像的重叠区域进行相似度比较,将相似度最大的区域作为匹配目标区域。得出最后的匹配结果-Using vc 6.0 and opencv1.0 achieve the target image matches the template, using the template image followed by image overlap region with similarity comparison, simi
edge
- 数字图像的边缘检测是图像分割、目标区域的识别、区域形状提取等图像分析领域十分重要的基础,图像理解和分析的第一步往往就是边缘检测,目前它以成为机器视觉研究领域最活跃的课题之一,在工程应用中占有十分重要的地位。-In this paper,after briefly introducing wavelet transform,the theory of the edge detection by using wavelet transform is presented.A method of the
RADAR-IMAGING-OF-ISAR
- SAR成像处理的过程是从回波数据中提取目标区域散射系数的二维分布,本质上是一个二维相关处理过程,因此最直接的处理方法是对回波进行二维匹配滤波,但其运算量很大,再加上SAR的数据率本来就高,这使得实时处难于实现。通常,可以把二维过程分解成距离向和方位向两个一维过程,Range-Dopper Algorithm(简称RD算法)-SAR imaging process is two-dimensional distribution of the scattering coefficient of th
Target-area-extraction
- 一个基于matlab实现的目标区域提取源码。-A matlab implementation of the target area to extract the source code.
chengxu.tar
- 三品检查图像的特征提取,图像预处理,根据区域标记对图像目标区域进行形状特征提取,并计算相关特征参数-Three check image feature extraction,Image preprocessing