搜索资源列表
NPatternRecognizer
- 这是一个机器学习的通用算法库，用.NET编写，实现了SVM,K-MEANS聚类等经典的机器学习算法-This is a general purpose machine learning algorithms library, use. NET prepared to achieve the SVM, K-MEANS clustering and other classic machine learning algorithms
color-cluster
- 基于opencv的图像颜色聚类算法。聚类精度较高，但颜色数目需要输入。-Opencv image-based color clustering algorithm. Clustering high accuracy, but the number of colors required to enter.
JuLeiFenXi2.1.2
- 用OPEN CV在VS2010下实现运动物体分离，算法理论：K—均值聚类算法-Moving objects in VS2010 with the OPEN the CV separation algorithm theory: K-means clustering algorithm
qt_open_surf
- 在上篇博客特征点检测学习_1(sift算法) 中简单介绍了经典的sift算法，sift算法比较稳定，检测到的特征点也比较多，其最大的确定是计算复杂度较高。后面有不少学者对其进行了改进，其中比较出名的就是本文要介绍的surf算法，surf的中文意思为快速鲁棒特征。本文不是专门介绍surf所有理论（最好的理论是作者的论文）的，只是对surf算法进行了下整理，方便以后查阅。 该代码的作者给出的主函数实现了6中功能，包括静态图片特征点的检测，视频中特征点的检测，图片之间的匹配，视频与图片之间的匹配
253f30664450
- 用于遥感图像分类处理的一个基于C++的遗传算法聚类程序-For remote sensing image classification based on genetic algorithm clustering procedure of the C++
Opencv-ref-man-2.3.1
- opencv 2.3 英文详解 比较新 目录如下 Introduction 1 1.1 API Concepts 12 core. The Core Functionality 7 2.1 Basic Structures .7 2.2 Basic C Structures and Operations 45 2.3 Dynamic Structures 77 2.4 Operations on Arrays104 2.5 Drawing Functions
kmeans-cluster-with-openCV
- openCV平台下kmeans聚类的实现-Kmeans clustering implementation with OpenCV
newKmean
- 实现了对图像的K_means聚类分析，图像分割-Realization of K_means clustering image analysis, image segmentation
opencv
- 图像场景分类的bow模型opencv源代码，采用k-means聚类构造单词，采用支持向量机的svm分类器。-Image scene classification bow model opencv source code, using k-means clustering structure of words, using support vector machine svm classifier.
annoiying-clustering
- 比较实用的conjugate方法编程，希望对大家有用，能够快速的解决科学计算问题，方便大家下载-application to the world in the programming
optical
- opencv写的基于光流法的运动人流分类，能够实现读取视频，实现金字塔光流法和HS光流法，最后对流动人群进行有效的聚类。-Opencv writing movement flow classification based on optical flow method, read the video, can be implemented to realize pyramid optical flow method and the HS optical flow method, finally,
1K_means
- 用K-means算法将点进行聚类，点以结构体的形式表示，opencv+vs2010跑通。-By K-means clustering algorithm point, the point structure in the form of representation, opencv+ vs2010 run through.
KMkeen
- 基于人类视觉将图像分割成若干个有意义的区域是目标检测和模式识别的基础。图像分割属于图像处理中一种重要的图像分析技术。图像分割的基本方法是对灰度图像分割，处理图像的亮度分量，简单快速。本论文介绍了传统的图像分割与K-均值聚类算法分割，然后利用OpenCV函数将其实现，并介绍了OpenCV中图像分割相关的基本函数。-Based on the human visual image is segmented into several meaningful regions is the basis for
0db98e1e158c
- VC++聚类程序，进行图像识别,双目距离检测中有应用-VC++ clustering procedure, image recognition, binocular distance detection in applications
sdadssad
- 强大的图像模式识别程序，在车辆测距中有很大作用，综合包括了聚类和分类程序-Powerful image pattern recognition program, plays a significant role in the vehicle ranging, including a comprehensive clustering and classification procedures
CPP-k-means
- 图像处理，C++环境下的k-means聚类算法，实现图像分割-Image processing, k-means clustering algorithm C++ environment, image segmentation
clustering
- 使用种子法实现基于opencv和vs2013的连通区域标记-Realization and connected component labeling based opencv use vs2013 Seed Law
MFCVIDEO
- 基于opencv的运动人流分类，采用了帧差法、DBSCAN聚类算法实现-Based on opencv motion flow classification, using the frame difference, DBSCAN clustering algorithm
ap
- opencv hierachical clustering demo
354291
- An image abroad k-means clustering of the c + + source code, very easy to integrate and use