搜索资源列表
OpenCV角点检测代码
- OpenCV角点检测代码,利用intel图形处理库opencv对彩色图像中物体的角和边进行检测，可以用在车辆的检测中-OpenCV corner detection code, the use of graphics processing for Intel OpenCV right color images of objects in the angle and edge detection, can be used in the detection vehicle
Histogram-Equalization-of-a-Color-Image
- This project for OpenCV C++. This program equalize histogram of a color image using OpenCV. -This is project for OpenCV C++. This program equalize histogram of a color image using OpenCV.
OpenCV--picture-inversion
- 这个程序主要是对图像进行反转操作，所谓反转就是把图像的颜色或其它特征转化成它的对立形式-This program is mainly for image inversion operation, the so-called inversion is to color or other characteristics of the image into its opposite form
OPenCV-feature--summary
- 包括 颜色提取 形状提取，形状提取包括 Candy算子对边缘提取、 角点提取、 Hough直线提取-Including color extraction shape extraction, including Candy shape extraction operator for edge detection, corner extraction, Hough lin
opencv pic
- to detect the thing in the pic considering the color,action
retinex.opencv
- Retinex理论的基础理论是物体的颜色是由物体对长波（红色）、中波（绿色）、短波（蓝色）光线的反射能力来决定的，而不是由反射光强度的绝对值来决定的，物体的色彩不受光照非均匀性的影响，具有一致性，即retinex是以色感一致性（颜色恒常性）为基础的。不同于传统的线性、非线性的只能增强图像某一类特征的方法，Retinex可以在动态范围压缩、边缘增强和颜色恒常三个方面打到平衡，因此可以对各种不同类型的图像进行自适应的增强。-The basic theory of Retinex theory is
Color-into-a-grey
- 采用VS2008和opencv编写代码，将衣服RGB彩色图像转化为灰度图像，并且富有代码的详细说明，便于对代码的理解，效果不错。-Use VS2008 and opencv coding, clothes RGB color image into grayscale image, and rich code detailed instructions, to facilitate the understanding of the code, effect is good.
OpenCV-feature-extraction
- openCV特征提取代码总结，包括：颜色直方图提取，形状特征提取，角点提取、Hough直线提取、边缘提取、纹理特征提取等等。-OpenCV feature extraction code summary, including: color histogram extraction, shape feature extraction, angular point extraction, Hough straight line extraction, edge detection and textu
OpenCV-Sample---color-blob-detection
- OpenCV 例子，通过OpenCV 的例子，可以简单的移植到android手机上并运行，开发环境已经包含在里面了-OpenCV example, through the examples of OpenCV, can simply ported to Android on the phone and running and development environment has been included in the inside
cfcskinextract
- 一个用C++编的，基于opencv的肤色提取程序。可后续用于进行人脸识别，手形识别等-One with C++ series, based on opencv color extraction procedures. Can be used for subsequent recognition, hand shape recognition, etc.
opencv
- 学习使用OpenCV，对输入的一段彩色视频，用OpenCV实现以下功能或要求: 1. 对输入视频的每一帧图像都用同一个阈值进行二值化； 2.在每帧二值化图像上叠加上含自己学号与姓名等信息的版权字幕； 3. 在处理的过程中，实时显示每帧图片处理之后的效果； 4.将所有这些二值化图像按视频原来顺序合成输出一个视频文件，按原输入视频播放速度的两倍合成； 5. 做成如下的命令行格式，xxx.exe 输入视频文件名 二值化阈值 输出视频文件名（例如 MyBiVideo.exe in
opencv
- 利用opencv实现图片色彩空间的分离显示：分别分离成RGB和HSV，然后提取特征向量实现图片比较-Display image color space using the opencv: RGB and HSV were separated, and then extract the feature vector is realized.
opencv
- 基于meanshift的单目标跟踪算法实现 说明： 1. RGB颜色空间刨分，采用16*16*16的直方图 2. 目标模型和候选模型的概率密度计算公式参照上文 3. opencv版本运行：按P停止，截取目标，再按P，进行单目标跟踪-Meanshift based single target tracking algorithm Descr iption: 1. RGB color space plane points, using a histogram 16* 16* 16 2
OpenCV
- 基于opencv的图像检索系统，提取颜色特征和轮廓特征进行检索-Image retri system based on OpenCV, the extraction of color features and contour feature extraction
color
- 这是基于opencv编写的，对颜色的检测，把颜色转换到HSV空间-This is based on opencv prepared, for color detection, the color space conversion to HSV
Color-Image-QualityaCCI_OpenCV
- 图像色彩丰富度反映的是色彩的鲜艳生动程度，CCI(Color colorfulness index)为其衡量指标。另外还有一篇经典文献。-CCI(Color colorfulness index) OPENCV Code A Novel Full-Reference Color Image Quality Assessment Based on Energy Computation in the Wavelet Domain
opencv-doc
- 图像数据操作（内存分配与释放，图像复制、设定和转换） 图像/视频的输入输出（支持文件或摄像头的输入，图像/视频文件的输出） 矩阵/向量数据操作及线性代数运算（矩阵乘积、矩阵方程求解、特征值、奇异值分解） 支持多种动态数据结构（链表、队列、数据集、树、图） 基本图像处理（去噪、边缘检测、角点检测、采样与插值、色彩变换、形态学处理、直方图、图像金字塔结构） 结构分析（连通域/分支、轮廓处理、距离转换、图像矩、模板匹配、霍夫变换、多项式逼近、曲线拟合、椭圆拟合、狄劳尼三角化）
skin-detect-base-color
- 基于opencv实现的肤色检测，用YCrCb模型检测出皮肤部分并显示出来。-Skin color detection based on opencv realized with YCrCb model to detect the skin parts and displayed.
Color-tracking
- 基于opencv的彩色目标跟踪demo.Based on the color target tracking opencv demo-Based on the color target tracking opencv demo
openCV-binarization
- 将一幅彩色图像二值化为灰度图像，其中灰度值大于某一阈值的像素赋予灰度值1，小于该阈值的像素赋予灰度值0-A color image to a grayscale image binarized, wherein the gray value is greater than a threshold value assigned to the pixel gray value 1, is smaller than the threshold value assigned to the pixel g