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katsevich
螺旋轨迹重建的一种实现方法，是解析算法的典型案例(An implementation method of spiral trajectory reconstruction is an analytical algorithm)
- 2021-04-20 17:28:50下载
- 积分：1
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otsu
多维OTSU阈值分割方法，能够实现二维图像多阈值分割(Multidimensional OTSU thresholding methods, able to achieve the two-dimensional image multi-threshold segmentation)
- 2020-07-04 01:40:01下载
- 积分：1
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FCM
模糊C均值聚类算法，对图像进行分类，图像处理，多类划分，SAR图像分类(Fuzzy c-means algorithm clustering algorithm, the image classification, image processing, many kinds of division, the SAR image classification)
- 2021-03-17 20:59:21下载
- 积分：1
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VC-PH
球面坐标定位法校正鱼眼图像畸变，使用visual studio 2008 编写，需要OpenCV的支持(Spherical coordinates locating fish eye image distortion correction, prepared using visual studio 2008, requires the support of OpenCV)
- 2010-05-15 11:42:48下载
- 积分：1
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ORB-and-FREAK-experiments-
ORB和FREAK局部特征对比实验ORB_FREAK(ORB and FREAK local features of comparative experiments ORB_FREAK)
- 2013-05-07 15:21:25下载
- 积分：1
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tuxiang
四种滤波（SVD滤波，PCA滤波，DCT滤波，DWT滤波）对图像处理，有程序代码和对应图片(Four kinds of filter for image processing)
- 2020-06-29 20:40:02下载
- 积分：1
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modeling_a_city
该文档描述了如何使用sketchup制作3D模型，并上传到google的3D仓库。(This document describes how to create 3D models using sketchup and uploaded to google' s 3D warehouse.)
- 2011-06-02 02:05:40下载
- 积分：1
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AviPclass
AVI视频流数据读写类库！供视频图像处理编程参考！非常好用！(AVI video stream class library for reading and writing data. Video image processing for programming reference! Very handy!)
- 2007-05-25 10:32:16下载
- 积分：1
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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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HaarPSRC=Vehicle-detection
运用harr特征+SRC（稀疏表示）分类实现的一种车辆检测方法，文件中提供了训练和测试车辆图片。由于时间原因，所用haar特征没有优化，维度过高，导致滑窗框图过慢，本代码只输出效果统计数据，以供大家参考学习稀疏表示在车辆检测中的应用。(Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training and test vehicle picture. Due to time reasons, the use of haar feature is not optimized, high dimension, resulting in sliding sash figure is too slow, the effect of the code only output statistics for your reference learning sparse representation in the vehicle detection.)
- 2013-07-31 11:21:35下载
- 积分：1
