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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
canny-edge-effect
- opencv的canny函数检测边缘的效果和matlab的不同 matlab的边缘更为细腻 -opencv canny edge effect and matlab function testing different- the edges of the matlab is more exquisite
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
edge-detection
- 本文档是利用opencv实现的边缘检测代码，包括3个算子：canny算子，laplace算子和sobel算子-This document is to use the opencv implementation of edge detection code, including three operator, canny operator, Laplace operator and sobel operator
OpenCV-camera-video-capture-sample
- 旧版OpenCV总是打不开现在的电脑摄像头，因此，查阅Opencv3.0文档后，发现其中部分类做了改进，程序为通过OpenCV3.0版本中的VideoCapture类打开电脑自带摄像头，用Mat类读取每帧图像，并利用边缘检测算法对视频边缘检测输出。-Older always OpenCV computer camera not open now, so consult Opencv3.0 document, found part of the class has been improved th
edge-detection-(varies-operators)
- 边缘检测的opencv源码，包含了各种算子和滤波器——Canny算子,Sobel算子,Laplace算子以及Scharr滤波器-Edge detection opencv source, including a variety of operator and filter Canny operator, Sobel operator, Laplace operator and Scharr filter
edge
- 调用opencv库，python编码，实现图像的边缘检测-Call opencv library, python coding, image edge detection
sobel-opencv
- 基于opencv的sobel算子的实现,包含相关文档和详细代码，可用于图像边缘检测的实现。-Sobel operator based on opencv implementation, including relevant documents and detailed code, can be used for the realization of image edge detection.
Edge-detection
- 用visualc++和opencv写的一个c++算法，实现对一幅图像进行边缘检测操作-Using visualc++ and OpenCV to write a c++ algorithm, to achieve a picture of the edge detection operation
opencv-show-image-based-on-MFC
- 基于MFC实现opencv图像显示、灰度化、旋转、边缘检测和缩放功能-Opencv display, gray, rotate, edge detection and zoom image based on the MFC
edge-extraction
- 基于opencv提取边缘，并剔掉其中面积或者周长比较小的闭环-Opencv edge extraction based on the area or perimeter and tick off the small loop
Canny-edge-detection
- 用OpenCV实现canny边缘检测，和MATLAB的canny边缘检测有所不同。-Canny edge detection using OpenCV，it s different the canny in MATLAB.
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）
MFC--Picture-control-OpenCV-2.4.9
- 本实例使用vs2013 中的 vc++结合opencv2.4.9进行图片显示。图片显示在picture contrrl，然后进行图片边缘提取-This example uses the vc++ vs2013 opencv2.4.9 be combined picture is displayed. Picture appears in the picture contrrl, then image edge extraction
opencv
- 利用opencv+VC++实现对图像的边缘处理，从而对图像进行检测-Use opencv+ VC++ to achieve the edge of the image processing to the image detector
edge
- opencv 边缘检测源代码 基于OPENCV3.0-opencv edge source code base on opencv3.0
Edge-Detection_canny-_perfect
- Canny算法求图像边缘，C++语言实现。步骤分：求梯度、非极大值移植、自适应阈值、滞后阈值求边缘、边缘细化。算法核心由C语言实现，效果可以和OpenCV和Matlab相媲美。-Canny algorithm for image edge, the use of C++ language, the steps include: for gradient, maximum value suppression, adaptive threshold, hysteresis threshold. Th
edge
- 使用Visual Studio 2013和opencv开源库实现图像的边缘检测-Use Visual Studio 2013 and opencv open source library for image edge detection
Marr-Hildreth-edge-detection
- 利用opencv进行Marr-Hildreth图像边缘检测，改进的边缘检测算子-Marr-Hildreth image edge detection with opencv, improved edge detection operator
Image-edge-detection
- 本代码是在基于opencv中的使用，在vs中编写的，关于图像边缘提取的！-This code is based on the use of opencv, written in vs, regarding the image edge extraction!