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EDLines 快速直线检测算子
EDLines是一种快速直线检测算子，2012年在ICCV上提出，也是目前处理直线检测最快的算法之一，该算法包含三个步骤：（1）边缘提取：利用Edge Drawing (ED)算法[28,29]从灰度图像中提取边缘片段；（2）线段检测：利用最小二乘法提取直线段；（3）线段确认：遵循Helmholtz定律，从已提取的直线段中摒弃虚假线段。EDLines算法的优越性得益于Edge Drawing (ED)算法能够从灰度图像中准确、快速、稳定地提取出光滑、完整的边缘片段。Edge Drawing (ED)算法包含以下步骤：
（1）采用size=5*5,σ=1的高斯核对灰度图像进行平滑滤波，去除噪声；
（2）采用一种常用的梯度算子，如Prewitt、Sobel或Scharr等计算平滑后图像中每个像素点的梯度幅度和梯度方向；
（3）将梯度图中邻域内幅度最大的像素点标记为锚点，这些锚点成为图像边缘点(edge elements)的概率很大；
（4）将相邻的锚点连接成边缘线。从一个锚点起始，ED利用相邻像素的梯度幅度和方向在梯度为最大值的锚点之间游走。
(Edge Drawing (ED) is our recently-proposed, novel, fast edge detection algorithm. What makes ED stand out
the existing edge detectors, e.g., Canny, is the following: While the other edge detectors give out a binary
edge image as output, where the etected edge pixels are usually independent, discontinuous entities ED produces a
set of edge segments, which are clean, contiguous, i.e., connected, chains of edge pixels. Thus, while the output of
the other edge detectors requires urther processing to generate potential object boundaries, which may not even be
possible or result in inaccuracies ED not only produces perfectly connected object boundaries by default, but it also achieves this in blazing speed compared to other edge detector.)
- 2021-03-22 16:29:16下载
- 积分：1
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SiftGPU-V370
说明： 使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual(SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lists. Finally keypoints are processed parallely to get their orientations and descriptors.
SiftGPU is inspired by Andrea Vedaldi s sift++[2] and Sudipta N Sinha et al s GPU-SIFT[4] . Many parameters of sift++ ( for example, number of octaves, number of DOG levels, edge threshold, etc) are also available in SiftGPU. The shader programs are dynamically generated according to the parameters that user specified.
SiftGPU also includes a GPU exhaustive/guided sift matcher SiftMatchGPU. It basically multiplies the descriptor matrix on GPU and find closest feature matches on GPU. Both GLSL and CUDA implementations are provided.
)
- 2011-02-23 10:20:27下载
- 积分：1
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Special-Project
图像相似性检测的PPT，比较全面的总结，对主要用到的特征提取和特征匹配算法都有基本的介绍。(Image similarity detection of PPT, a more comprehensive summary of the main use of the feature extraction and feature matching algorithm has the basic
The introduction.)
- 2011-12-28 03:51:30下载
- 积分：1
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Canny
本压缩包有canny算子的源程序代码和测试图片。(The archive has canny operator of the source code and test images.)
- 2008-07-24 11:22:50下载
- 积分：1
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backgroud(12.22)
本人开发的火焰识别程序，包括otsu自适应阈值，canny边缘检测，形态学膨胀、腐蚀操作，尖角判别，圆形度计算。在vc下编译通过。(development of the flame identification procedures, including otsu adaptive threshold, canny edge detection, Morphological expansion, corrosion operation, pointed discriminant, circular calculation. Under the vc compile.)
- 2006-12-22 19:07:30下载
- 积分：1
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直线段检测算法EDLines C++实现 EDTest-VS2010
直线段检测算法EDLines C++实现(EDLines C++ Opencv lins segment detection)
- 2020-07-05 10:00:01下载
- 积分：1
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tuxiangzengqiang
这里的图像增强包括灰度修正、平滑、滤波、锐化等，是图像处理的基本操作，本代码调试通过(Here, including gray-level correction image enhancement, smoothing, filtering, sharpening, etc., is the basic image processing operations, the code debugging by)
- 2010-09-04 15:16:24下载
- 积分：1
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1
说明： 图像处理的位图操作，256色转为灰度图，图像处理入门源程序(Bitmap image processing operations, 256-color to grayscale, image processing, entry-source)
- 2010-06-02 21:11:10下载
- 积分：1
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CT-tracking
一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维，然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单，但是实验结果很鲁棒，速度大概能到达40帧/秒(A simple and efficient tracking algorithm based on compressed sensing. Firstly, with the random sensing matrix compressed sensing RIP conditions for multi-scale image feature dimension reduction, and then use the naive Bias classifier simple classification in the feature reduction after the. The tracking algorithm is very simple, but the results are robust, speed can reach 40 frames per second)
- 2014-01-10 11:45:54下载
- 积分：1
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Face-deformation
C++，人脸变形，选择图片，在图片中选择一个四边形窗口（人物脸部），然后再在内部选择一个四边形窗口，逆时针选择，然后点击变形直接呈现变形结果，点击动画可以查看人脸变形过程(C++ program, select a picture, choose a quadrilateral window (human faces) in the picture, and then select a quadrilateral inside the window, counter-clockwise to select, then click on the deformation presented directly deformation results, click animated facial deformation process can be viewed)
- 2014-02-16 13:46:01下载
- 积分：1
