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edge_check
- 基于matlab的边缘检测程序，成功实现了奥运开幕式图片的边缘检测，matlab6环境运行成功。-Matlab-based edge detection procedures, the successful implementation of the Olympic opening ceremony, the edge detection image, matlab6 environment running successfully.
1
- 图像处理论文：多尺度形态学图像边缘检测方法，多尺度形态学图像边缘检测方法-Image Processing Thesis: Multi-scale morphological edge detection methods, multi-scale morphological image edge detection method
DigitalImageProcessing4
- 7.1 概述 7.2 边缘检测 7.3 边缘跟踪 4.1 概述 4.2 空域变换增强 4.3 空域滤波增强 4.4 频域增强 4.5 彩色增强 -7.2 Edge Detection 7.1 overview 7.3 Edge tracking 4.1 4.2 Enhanced 4.3 airspace airspace transform filter to enhance the frequency domain 4.4 Enhanced Color Enha
canny
- canny算子的边缘检测，附带几个经典图片，visual 6.0C++的运行环境-canny edge detection operator, with a few classic pictures, visual 6.0C++ the operating environment
edgedetect
- 用各种算子对图像边缘检测，用巴特沃斯滤波器平滑处理后，再用prewitt算子、LoG算子、Canny算子边缘检测，之后去粘连-Operators using a variety of image edge detection, smoothing filters with Butterworth, the re-use Prewitt operator, LoG operator, Canny edge detection operator, followed by adhesion to
edgedetect_wavelate
- 基于小波的图像边缘检测程序，用MATLAB编程实现基于小波的边缘检测-Image based on wavelet edge detection procedure, using MATLAB programming based on wavelet edge detection
wavelets
- 基于小波变换的图像边缘检测,在MATLAB环境下做.-Wavelet-Based Image Edge Detection, done in the MATLAB environment.
521
- 非常全面的图像处理编程软件，可以进行边缘检测，滤波，切割等等多种功能。-Very comprehensive image processing programming software allows for edge detection, filtering, cutting and so on multiple functions.
byjc
- 边缘检测和摄像机标定算法的研究:计算机立体视觉中，首先必须解决的是三维物点与二维像点的对应关系问题。因此， 摄像机标定是计算机视觉实现的前提和基本问题。 摄像机标定主要分为传统的标定算法和自标定算法。由于摄像机镜头存在着畸变， 对于要求精度定位的应用，需要进行畸变校正。传统的标定算法中各种算法存在着计算量大的不 足，本文将利用 T s a i 的两步标定法，考虑一阶径向畸变的摄像机标定算法，它与其它优化算法相比具有简单实用、 计算量小的特点。 实验结果表明，该方法可以达到较高的精度。-err
bianyuanjiance
- 一种基于小波的边缘检测算法，用matlab实现，程序有点长，希望耐心的阅读-Based on wavelet edge detection algorithm, using matlab to achieve, the program a bit longer, hoping patiently reading
LhfImage2
- 图像各种边缘检测算子的比较，包括介绍了四种边缘检测算子包括Roberts边缘检测算子、Sobel边缘检测算子、Prewitt边缘检测算子和高斯—拉普拉斯边算子-Image a variety of edge detection operator of comparison, including the introduction of the four edge detection operator, including Roberts edge detector, Sobel edge dete
log
- 应用log算法进行图像的边缘检测，log算法是一种基于灰度值的二阶导数来进行边缘检测的，通过检测零点来进行边缘检测-Application log algorithm for image edge detection, log-based algorithm is a gray value of the second derivative for edge detection, by detecting zero for edge detection
waveedge
- 这是一个基于快速的小波变换的边缘检测的matlab程序-This is a fast wavelet transform-based edge detection matlab program
composition_eige_detect4_paper
- 基于Canny算子的图像边缘检测与提取的算法--- 论文，对模式识别的朋友会有很大帮助，拿来与大家分享，希望能够用的上！-Canny operator based on image edge detection and extraction algorithms--- papers on pattern recognition would be of considerable help of friends, used to share with you, hoping to use the!
model
- 图像的边缘检测MATLAB代码，对所获取的图像可以进行有效的边缘检测-Image Edge Detection MATLAB code of the acquired image can be an effective edge detection
EdgeContour
- 数字图像处理中的基本边缘检测算法的实现，包括Robert、Sobel、Prewitt、Kirsch等边缘检测算子的实现，还包括用Hough变换检测直线。-Digital image processing in the basic edge detection algorithm, including Robert, Sobel, Prewitt, Kirsch edge detection operator such as the realization, but also a straight
compare_of_edge_detect_methods
- 讨论和比较了几种常用的边缘检测算子。梯度 算子计算简单 ,但精度不高 ,只能检测出图象大致的轮廓 ,而对于比较细的边缘可能会忽略。Prewitt 和Sobel算子比 Roberts 效果要好一些。LOG 滤波器和 Canny算子的检测效果优于梯度算子 ,能够检测出图象较细的边缘部分。不同的系统 ,针对不同的环境条件和要求 ,选择合适的算子来对图象进行边缘检测。-Discussion and comparison of several commonly used edge detection
edge_detect
- 利用matlab对图像进行灰度调整、拉伸处理和边缘检测-Use matlab image grayscale adjustment, stretch processing and edge detection
Handbook.of.Image.and.Video.Processing
- 英文原版。本书介绍了图像和视频处理方面的基本原理、主要技术和典型应用，相关的内容包括图像与视频的增强和恢复，分类和分割，图像边缘检测，图像处理算法，图像压缩、存储、重取和通信，以及图像处理的应用。-This Handbook represents contributions from most of the world’s leading educators and active research experts working in the area of Digital Image and
bianyuan_jiance_bijiao
- 用六种算子(分别是gabor、拉普拉斯、priwitt、robert、sobel、wallis),对三种图象进行边缘检测比较，强烈推荐哦，是本人的毕业设计中的关键程序-The six operators (respectively gabor, Laplace, priwitt, robert, sobel, wallis), images of three edge detection comparison, strongly recommend Oh, my graduation proje