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connectprocess
- 在图像处理过程中,经常会遇到这样一部分图像,图像的整体部分如果人来看的话一眼就能看出,但是它的内部由于有各种小缺口,导致断开了,这样在计算机“眼”里就被认为是断开的,为了使图像达到适应人眼的感觉,需要将这些缺口和断开的口给连接上去,这就需要用到计算机图形学中的连通域处理技术。本文给出一个简单的连通域处理函数,当然这个函数是来自OpenCV著名教程Learning OpenCV中,只不过它的接口是基于c版本的OpenCV,而到目前为止,基于C++接口的OpenCV已经是主流,所以我将其接口改成了c
liantongyu
- 这是连通域检测的两个代码,一个是.cpp文件,另一个是.h文件-This is connected domain detection code, a cpp files, the other is. H file
Image-connected-domain-calibration
- 图像连通域的标定,很好用的,可以采纳,可以用-Image connected domain calibration
DT-method
- 基于数字距离变换的三D模型骨架提取算法在获得三维模型体素表示的基础上,通过比较模型体素及其26连通域体素到模型轮廓的最小欧 式距离,提出了一种利用骨架体素26连通域的对称性进行三维模型骨架体素提取的算法·整个算法只需遍 历一次体数据集即可自动完成模型骨架的提取过程.实验表明,该算法具有较高的效率和精度 -Three-D model of stock price based on the digital distance transform algorithm
typedef-struct-tagMarkRegion
- 连通域标记C++程序,已经经过验证,可以放心使用-typedef struct tagMarkRegion
connected-component
- 将图像中的连通域部分分别提取出来,但是输出的时候不能连续输出,我用的是最繁琐的方法-The the connected domain part of the image were extracted, but the output is not continuous output, I used the most tedious method
1
- 二值图像连通域标记快速算法实现,非常有用的哦。-Binary image connected domain mark fast algorithm ,Very useful
add-background-and-texture
- OPENCV图像的去背景及添加纹理操作,使用了opencv,并有连通域操作-The OPENCV image to the background and add texture operation, use opencv, and operation of the connected domain
connect
- 图的连通性判断,基于MATLAB的实现,此方法可以知道有几个连通域,并且知道各个顶点的归属。-the judgement og a tuopu picrture
Motion_detect_with_RGBshadow_remove
- 利用背景减除法进行运动前景分割,而后利用归一化RGB颜色空间进行阴影减除,利用连通域进行滤澡,对每一帧进行运动前景提取。-Motion detection by background subtraction and RGB shadow removing method.
Automatic-People-Counting-
- 提出了智能视频监控中基于机器学习的自动人数统计系统。。该系统通过机器学习的方法对视频序列中人的头肩部位进行准确地检测。克服了传统检测方法如连通域分析和简单模板匹配的不足。-Automatic people counting system based on machine learning in intelligent video surveillance. . The system through machine learning methods to accurately detect the
the-connected-domain
- 采用基于连通域(四连通域和八连通域)的方法对图像中的文字进行检测-Detection of the text in the image based on the connected domain (four-connected domain and eight-connected domain) method
the-binary-image-
- 这里列举二值图像连通域标记算法包括直接扫描标记算法和二值图像连通域标记快速算法-Here are the binary image connected component labeling algorithm including direct scan labeling algorithm and binary image connected component labeling fast algorithm
find_connected_components
- 连通域法,将帧间差分或者平均背景法得到的图像进行去除噪声处理,使其得到光滑的图像-find connected components
hunhegfaosi
- 该程序采用了混合高斯算法,对视屏进行处理能够检测出运动目标,同时采用了连通域阈值法除去多余的轮廓,使用时要安装opencv-The program uses a Gaussian mixture algorithm for processing to detect moving targets on the Screen, at the same time using the connectivity Domain threshold method to remove the outline t
Binary-image-connected-domain
- 这里列举二值图像连通域标记算法包括直接扫描标记算法和二值图像连通域标记快速算法-Here are the binary image connected component labeling algorithm including direct scan labeling algorithm and a binary image connected component labeling fast algorithm
mybwlabel4
- 自己编写的关于连通域编辑的MATLAB程序。-I have written on the connected domain editing MATLAB.
chepaishibie
- 基于图像的车牌自动识别技术:读取待处理的图像,将其转化为二值图像,去除图像中面积过小的、可以肯定不是车牌的区域,查找连通域边界,找出所有连通域中最可能是车牌的那一个-Based on the image of the license plate automatic identification technology: Read the image to be processed, will be transformed into a binary image, to remove the ima
labe_forOpencv
- 对二值图像进行连通域的提取,就这个功能.-Binary image connected domain extraction, on this function. . .
face-detected
- face_detected matlab 进行人脸检测 利用最大连通域-face_detected matlab