搜索资源列表
Edge-feathering-algorithm
- 边缘羽化算法，利用opencv实现。当前后背景颜色差值较大时，具有好的效果。-Edge feathering algorithm, using opencv implementation. After the background color of the current difference is large, with good results.
edge-detection
- 将彩色图像转换为灰度图像并对其进行边缘检测 vs2008+opencv2.1运行成功-A color image is converted to grayscale and edge detection of its successful run vs2008+ opencv2.1
Texton
- Work in progress implementation of multiple object recognition using color, location, edge and texton-layout filters. Uses OpenCV 2.0
EX1
- 1.用OpenCV实现打开一幅彩色图像，显示出来； 2.将其转换为灰度图并保存为文件； 3.将其二值化并保存为文件（二值化阈值最好用滚动条交互式输入，图像二 值化效果能实时变化更好，可参考OpenCV的sample程序edge.c）-1 using OpenCV open a color image display 2 converted to grayscale and saved as a file 3 the second value and save
edge
- 主要是采用Canny算法进行边缘检测，有一个个跟踪条，涉及到callback函数，对灰度图像进行边缘检测，将彩色图像转换为灰度图像-Using Canny algorithm for edge detection, a track bar relates to the callback function, for edge detection of gray image, the color image is converted to grayscale images
Test1
- 一个基于OpneCV的canny边缘算法,支持将彩色图像转换成灰度图片之后再求边缘的程序-A support and then seek to convert a color image to grayscale image edge program based canny edge OpneCV algorithm,
opencv_image
- 锐化、图象的半影调和抖动技术、直方图修正和彩色变换、腐蚀，膨胀，细化算法、边沿检测与提取，轮廓跟踪-Sharpening, image penumbra reconcile jitter histogram correction and color conversion, corrosion, expansion, refinement algorithm, edge detection and extraction, contour tracking
CVshowManyImage
- 实现了在一个窗口显示多个视频子窗口，能够读入单个的视频或摄像头数据，然后在一个窗口中分别显示原始帧图像、反色图像、灰度图像以及Canny边缘检测图像-Realization of a plurality of video sub-window display window can be read, or a single video camera data, and display the original image frame, anti-color image, gray-scale im
tuxiangchuli
- 彩色数字图像边缘检测，高斯滤波、欧式距离、Canny算子、双阈值处理和非极大抑制。-Color digital image edge detection, gaussian filtering, Euclidean distance, Canny operator, double threshold processing and not greatly suppressed.
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
tracking
- 目标跟踪代码。关键字：均值漂移、卡尔曼滤波、颜色直方图、边缘方向直方图-Codes of object tracking.key words:mean shift,kalman filter,color histgram,edge direction histgram.
OpenCvTest
- 用Opencv2.4.9和VC2013写的Opencv入门图像处理程序，主要是读取彩色图像、转化为灰度图像、用Canny算子进行边缘检测、显示各种图像等，是比较好的Opencv入门简单程序。-Written by Opencv2.4.9 and VC2013 Opencv entry image processing program, mainly to read the color image is converted to grayscale images, using Canny edge
check
- 程序对草莓成熟度进行检测,利用边缘检测，ROI，颜色分割检测草莓的成熟度。-Strawberry maturity testing, using edge detection, ROI, color segmentation detection maturity strawberries, download directly available.
col_roberts
- 基于三维彩色空间ColorRoberts算子实现，充分利用了全面的色彩信息，所以进行彩色图像边缘检测的效果优于只分别作用在彩色三分量上的传统彩色边缘检测方法。 法-Based on three-dimensional color space ColorRoberts operator to achieve full use of the full color information, so the color image edge detection is better than the
fire1
- 用于火焰尖角、圆形度、纹理的测量以及图像颜色、矩阵、边缘直方图的测量-For flame sharp corners, roundness, texture measurements, and image color, matrix, edge histogram measurements
Gaussian
- 打开24位彩色bmp文件, 显示该图像 将图像内容顺时针旋转90度后显示出来 将图像分成等大小的4块，将第1和第3块像素互换后保存 将旋转后的图像转换成灰度图像显示，并保存 对灰度图像求Sobel边缘图，显示出来，并保存 对灰度图像进行Gaussian平滑，并保存（需要体会平滑的作用） 对灰度图像进行2值化-Open 24-bit color bmp files, displays the image will rotate clockwise image content
openCV-Practicefh
- 人脸识别： 相关功能： 1.将图像转换为灰度显示 2.应用高斯滤波器去除小的边缘 3.计算与画布边缘 4.修改边缘颜色 5.将Mat转换为Xcode的UIImageView显示(Face recognition: Related functions: 1. Convert the image to grayscale display 2. Use gaussian filter to remove small edges 3. Calculate the edge of th
fruit-recognition-master
- 运用了OpenCV、C++、水果识别、Qt界面、颜色识别、边缘检测、图像处理 ，能够实现对不同种类水果进行识别分类。(Using OpenCV, C++, fruit recognition, Qt interface, color recognition, edge detection, and image processing, it is possible to identify and classify different types of fruits.)