CVPR2011Paper

mean shift功能演示，实现图像分割，具体请看效果(the demonstration of the mean shift algorithm)

机器视觉,计算机视觉,人脸识别,形态学,图像采集,压缩编码,数字水印,神经网络,人工智能,模式识别,特征提取,图像检索,视频检索,计算机图形学(machine vision, computer vision, face recognition, morphology, image acquisition, compression, digital watermarking, neural network, artificial intelligence, pattern recognition, feature extraction, image retrieval, video retrieval, computer graphics)

图像分割，完整程序，验证可行。新手上传，望支持。(image direct)

说明：  PCL+ MFC+ Visualization 点云显示(PCL+ MFC+ Visualization)

小波算法。机械化的提高我们的效率。让我们减少错误率。大家要对她有性心。(Wavelet algorithm. Mechanization to improve our efficiency. Let us reduce the error rate. We have to have sex to her heart.)

说明：  双目测距bm算法，已经实现,基于vs2015+opencv3.2,测距精度很高，一米内精度一厘米误差(Binocular ranging bm algorithm, which has been implemented, is based on vs2015 + opencv3.2, which has high accuracy and one centimeter error in one meter)

在两个控件里实现自动的字幕滚动，点击取消后，停止(In the two controls in the subtitles automatically scroll, click Cancel, stop)

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.)

打开BMP图像 IHS Brovey图像融合(Open the BMP image IHS Brovey Image Fusion)

边缘检测 的 matlab粒子群程序序源码 ，希望对你有所帮助 (Edge detection matlab particle swarm procedure sequence source, you want to help)