搜索资源列表
fenggge
- 这是一个图像的分隔算法,绝对可用,欢迎下载,保证无毒-This is a separate image algorithm can be absolutely welcome to download, ensuring a drug-free
Cluster.rar
- 在Visual C++下实现聚类分析在图像识别中的应用。其中包括模糊聚类,遗传算法聚类分析,层次聚类和动态聚类等算法。可以运行,并有分类的源文件。是不错的研究素材。,In Visual C++ Achieve clustering analysis in image recognition applications. Including fuzzy clustering, genetic algorithm for cluster analysis, hierarchical clusterin
Image-Edit1
- 基于cximage的c++车牌定位,想对图像算法有深入研究的同学可以参考一下,没有注释,对初学者来说看起来比较困难-Based on cximage c++ license plate localization, want to have deep research of the image algorithm students can consult, no comment, for starters look more difficult
hough-Transform-for-Line-Detect
- Hough变换的入门算法.含有详细的注释.-The basis Algorithm for Hough Transform used to detect lines in the Digital Image.The function GetPeak() is useful for Peak Value Detect. Any Question? Mail me.
ant_colony_image_edge_detection
- 一种蚁群优化的边缘检测算法,可实现!用matlab编写-An ant colony optimization algorithm for edge detection can be realized! Prepared using matlab
Anautomaticimagestitchingalgorithmbasedonfeaturema
- This paper presents an image feature matching algorithm,based on what an image stitching algorithm can be fune— tioning.In this algorithm,Harris comer detector is used to extract featum points-This paper presents an image feature matching algorithm
motion
- 这是关于运动视频处理的电子书,包含了运动检测和跟踪的算法理论知识-This is the video processing on the movement of e-books, includes a motion detection and tracking algorithm theoretical knowledge
Study.on.License.Plate.Segmentation.Based.on.Color
- 智能运输系统中车牌识别技术得到了广泛应用 , 车牌分割是车牌识别的重要部分。基于彩色图像车牌分割与采用灰度图像车牌分割相比 , 可以有效消除阴影影响 , 同时车牌颜色也是车牌识别的一个参数。颜色分类处理使用特征函数 , 可以减少颜色坐标转换运算 , 提高颜色分类速度。文中详细讨论中国车牌特征 , 给出车牌分割详细步骤。车牌 区域判别采用信息融合技术。车牌倾斜矫正结合车牌倾斜特点 , 提出快速算法。-Intelligent Transport System in the license pla
xingzhuang
- 一个简单的图形识别程序,算法比较简单,利用了图像获取工具箱-A simple pattern recognition procedure, the algorithm is relatively simple, using the Image Acquisition Toolbox
PatternRecongnition
- 图像模式识别聚类分析、模糊聚类、遗传算法聚类-Cluster analysis of image pattern recognition, fuzzy clustering, genetic algorithm clustering
simpleABdemo
- Adaboost算法的基本思想是:利用大量的分类能力一般的弱分类器(weaker ifier)通过一定的方法叠加(boost)起来,构成一个分类能力很强的强分类器 眼eClassifier),再将若干个强分类器串联成为分级分类器(ClassifierCaseade) 图像搜索检测。本文就是利用Adaboost算法将由类haar特征生成的弱分类器 成为强分类器,再将强分类器串联成为分级分类器。 -Adaboost algorithm basic idea is: the abi
log
- 应用log算法进行图像的边缘检测,log算法是一种基于灰度值的二阶导数来进行边缘检测的,通过检测零点来进行边缘检测-Application log algorithm for image edge detection, log-based algorithm is a gray value of the second derivative for edge detection, by detecting zero for edge detection
ccma
- 人脸识别算法源码,该算法用于提取人脸中的非线性特征-Source face recognition algorithm, the algorithm used to extract facial features of the non-linear
Matlab
- 图像模板匹配算法用MATLAB来试验,有例子大家可以看看,有上占还不完好,有能力的自己-Image template matching algorithm using MATLAB to test, there are examples we can see, there are not well accounted for, the ability of their changed
Image
- 一篇很优秀的关于图像边缘检测和特征提取算法的博士论文,文中介绍了不少有益的算法。-On a very good edge detection and feature extraction algorithm doctoral dissertation, In this paper, many useful algorithms.
ipr.iso
- 《图像模式识别--VC++技术实现》/ 杨淑莹编著 配套cd 夲书介绍图像模式识别的各种算法及其编程实现。内容包括:模式识别的基夲槪念,模板匹配分类器,几何分类器,聚类分析,遗传算法聚类分析等。-" Image pattern recognition- VC++ technology to achieve" /杨淑莹edited夲book cd package introduced a variety of image pattern recognition algori
fengefa
- 基于一种新的二值化优化方法 与 实现:综合全局二值化与边缘检测的图像分割方法-Based on a new binarization method and the realization of optimization: an integrated global binarization and edge detection for image segmentation method
2221901171942007418161516204577
- this program realize the DEC, 1998 super resolution algorithm. SR image is obtained from LR image sequence.
CorrectCarNoImageAndRegnize
- 一种车牌图像校正新方法 【摘要】因摄像机角度而造成的机动车牌图像倾斜会对其后继的字符分割与识别带来不利的影响。本文在分析了车牌倾斜模式的基础上,提出了一种基于最小二乘支持向量机(LS-SVM)的车牌图像倾斜校正新方法。通过LS-SVM线性回归算法求取坐标变换矩阵并对畸变图像进行旋转校正。主要方法:首先,将二值倾斜车牌图像中的像素转换为二维坐标样本,并构造图像数据集 再通过LS-SVM线性回归算法对该数据集进行回归,求取主要参数 最后,再由该参数转换为能反映图像倾斜方向的2维坐标变换矩阵。实验
algorithm
- 任意光照人脸识别算法,从各种不同侧面光照的图片中计算出正面光照的算法,仅仅是算法,可以用VC实现,比较简单。-Any light face recognition algorithm, from a variety of different aspects of light in the image algorithm to calculate a positive light, just algorithms can be used VC to achieve, is relatively s