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yun7.1
重要的纹理分割分类基础程序，可以进行更深入的探讨和优化，应用于遥感影像中。(Important basis for classification of texture segmentation procedure can be carried out more in-depth exploration and optimization, application of remote sensing images.)
- 2007-07-13 15:01:34下载
- 积分：1
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Image-Fourier-transform
图像傅里叶变换，进行加密以及全息图。对初学者可以摸索学习(Image Fourier transform, encryption, and a hologram. Can explore to learn for beginners)
- 2012-03-01 10:25:11下载
- 积分：1
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mrfdemo
MRF分割程序，C++编写，进行图像分割处理，帮助熟悉分割过程及能量最优求解(markov image segmentation, energy interation algorithm)
- 2021-03-11 15:09:25下载
- 积分：1
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200732590069
说明： 非常好的图像处理全面软件，包括滤波等基本操作(Very good overall image processing software, including basic operations such as filtering)
- 2011-04-14 10:33:15下载
- 积分：1
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Wavelet
Visual C++下的小波变换，小波分解与重构，加入噪声分析，显示分解和重构图形。(Wavelets for data encode and uncode, the figures would be shown.)
- 2009-04-09 21:55:21下载
- 积分：1
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AVI
光流法、帧间差分法、高斯背景模型差分法，在opencv环境下实现运动目标检测(moving objective detection
matlab)
- 2011-10-27 15:50:28下载
- 积分：1
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charrecognition
《VC++数字图像识别技术典型案例》第九章光学字符识别技术，包括预处理、边缘跟踪和特征提取算法("VC Digital Image Recognition Technology typical case," the ninth chapter of optical character recognition technologies, including pretreatment, Edge tracking and feature extraction algorithm)
- 2007-05-28 20:52:03下载
- 积分：1
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the-Algorithm-of-fire-detection
推荐火灾检测的参考文献，有火焰多个特征提取的算法。(the article is about how to detect fire，using many algorithms to get the features of fire.)
- 2013-03-26 15:01:04下载
- 积分：1
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EdgeDetectionAndExtraction
边缘检测与提取，轮廓跟踪
注意事项：
运行时，文件c: est.bmp必须存在(Edge detection and extraction, contour tracing Note: run-time, file c: test.bmp must exist)
- 2009-03-11 15:00:42下载
- 积分：1
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ICP-point-cloud-registration
三维激光点云配准是点云三维建模的关键问题之一。经典的 ICP 算法对点云初始位置要求较高且配准
效率较低，提出了一种改进的 ICP 点云配准算法。该算法首先利用主成分分析法实现点云的初始配准，获得较好
的点云初始位置，然后在经典 ICP 算法的基础上，采用 k － d tree 结构实现加速搜索，并利用方向向量夹角阈值去除
错误点对，提高算法的效率。实验表明，本算法流程在保证配准精度的前提下，显著提高了配准效率。
(Three-dimensional laser point cloud registration is one of the key three-dimensional point cloud model. High classical ICP algorithm to the initial position of the point cloud registration requirements and low efficiency, proposed an improved ICP point cloud registration algorithm. Firstly, the use of principal component analysis of the initial point cloud registration, get a better initial position of the point cloud, then the basis of classical ICP algorithm using k- d tree structure to achieve speed up the search, and using the direction vector angle the removal of the threshold point error and improve the efficiency of the algorithm. Experiments show that the algorithm processes to ensure the accuracy of registration under the premise, significantly improve the efficiency of registration.)
- 2016-08-01 10:34:57下载
- 积分：1
