搜索资源列表
edge detecter(DE256)
- 很好用的边缘检测程序:) ED-256 is an edge detection program with support for any bitmap. As of 2.1, the program allows both edge detection and prototype classification on the images.-good use of edge detection procedures :) ED-256 is an edge detection program
真彩位图转化成各色或黑白位图
- 将真彩位图转化成各色或黑白位图，进行二值化(支持多种抖动方法)处理后的位图-of color bitmap into colored or black-and-white bitmap, for the value of two (jitter support multiple methods) treatment, the bitmap
图象处理vc源代码
- 使用vc实现的一个图象处理源代码,比较全,多多支持-use vc achieve an image processing source code, the entire comparison, the more support
Chromaticity
- 一個包含完整繪製 CIE Chromaticity Diagrams 的程式, 包含支援 CIE Standard Observer, Color Mstching Functions, 及 CIE 1931, CIE 1960, CIE 1976 等格式.-contains a complete CIE PLL Diagrams mapping programs, including support CIE Standard Observer, Color Mstching Functio
PictureTreatment
- 提供的 vc 代码完成以下功能: 1. 将真彩位图转化成各色或黑白位图，进行二值化(支持多种抖动方法)处理后的位图，效果和速度极佳。 2. 将真彩或黑白位图进行 90度 , 180 度 ,270 度 高速度旋转。 [代码性质] VC完整应用程序代码 [代码作者] 王寒 [文件大小] 327K [更新日期] 2005-4-12 11:42:00 [来源]http://www.vckbase.com/code -vc code for the completion of
Calibration
- 一个摄像机定标的程序，需要有OpenCV的支持，希望对大家有用-a camera calibration procedures, the need for the support of OpenCV, useful for all
cvWarpPerspective_example1.tar
- Linux下使用OpenCV实现双摄像机立体视觉的程序，需要OpenCV支持，希望对大家有用-Linux dual use OpenCV stereoscopic cameras procedures, the need to OpenCV support in the hope of useful for all
streocam
- 用OpenCV实现双摄像机立体视觉的程序，需要有OpenCV的支持，很简单的程序-using OpenCV dual stereo vision cameras procedures, the need for OpenCV support, a very simple procedure
step1_findcorners
- 基于OpenCV的角点检测程序，需要有OpenCV支持，程序比较简单，没有界面-based on the angle detection procedures, the need for OpenCV support, procedures are relatively simple, no interface
GDI+otsu
- 支持的文件格式有jpg gif bmp tif png emf 利用ColorMatrix完成彩色图到灰度图的转换利用LockBits完成算法和分割包内自带GDI+库-support the file format is jpg gif bmp tif png catalog use ColorMat RIX complete color to grayscale conversion using LockBits complete packet segmentation algorithm a
svm_src
- Support Vector Machine Classifier(SVM) 基于支持向量基的图像分类方法，程序变得很好，国外网站上下的，是一个完整的工程-Support Vector Machine Classifier (SVM) based on support vector-based image classification methods, procedures have become very good, abroad site from top to bottom, is a
SVM_Tracking
- support vector tracking,2004 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,-support vector tracking, 2004 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,
A_Study_og_Face_Recognition_Methods_Baced_on_Wavel
- 针对灰度图像，提出一种基于知识的人脸检测方法。 提出了一种给予支持向量机的人脸检测方法。 提出了一种基于小波分解的LDA人脸识别方法。 提出了一种基于小波和DCT的人脸识别方法。 提出了一种机遇CEDT和支持向量机的人脸分类和识别方法。 -For gray-scale images, a knowledge-based face detection methods. A support vector machine method of face detection. A wa
SVM_GA
- 提出一种基于支持向量机( SVM)和遗传算法(GA)的离散余弦变换(DCT)域盲数字图像水印方法. 该方法能自适应于图像的局部特征. 依据图像块的局部特性,利用SVM对图像块分类,自适应地确定水印嵌入强度, GA用来优化水印嵌入位置. 实验结果表明该方法有较好的不可见性和较强对抗攻击的鲁棒性.-Based on support vector machine (SVM) and genetic algorithm (GA), discrete cosine transform (DCT) doma
matlab
- 模式识别中的线性分类器的设计，包括感知机，最小二乘法和支撑矢量机的算法的MATLAB代码。-Pattern Recognition linear classifier design, including perception, least squares and support vector machine algorithm MATLAB code.
FaceRec
- 这是一个用matlab实现的基于支持向量机的人脸识别系统，已经本人调试通过，非常有用。-This is a matlab implementation with support vector machine-based face recognition system has been through my debugging, very useful.
code
- 基于Java语言编写的图像分割的代码，使用支持向量机的技术对图像进行分割-Written in Java-based image segmentation code, the use of support vector machine technology for image segmentation
ASW
- 自适应权重立体匹配算法，目前效果最好的局部匹配算法-Local and area-based matching methods generally measure the similarity (or dissimilarity) between the image pixels using local support windows.
support-vector-machine-
- 用支持向量机svm实现分类与函数回归，其中包括svc程序，svc输出程序以及svr绘图程序-Classification and function regression using support vector machine svm, including svc program, svc output of the program as well as a drawing program svr
support-vector-machine-segmentation
- 支持向量机与水平集相结合的方法分割医学图像，并带有肺部医学图像-Support Vector Machine and level set method of combining medical image segmentation and image with lung medicine