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gaijinfensuilin
改进的分水岭算法，能够较好地提取对象轮廓、准确得到物体边界的优点。在MATLAB6.5下顺利编译通过(improve the watershed algorithm can be used to extract object contours, to be precise object boundary advantages. In MATLAB6.5 smoothly through the compiler)
- 2007-04-29 21:49:29下载
- 积分：1
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tuxiang
滤波的方法有很多，其中小波滤波很实用，提出了一种二进小波变化的算法。(There are a lot of filtering method, the wavelet filter is very practical, this paper proposes a binary wavelet algorithm.)
- 2013-10-18 19:58:54下载
- 积分：1
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Local-Binary-Pattern-Features
对计算图像的LBP矩阵并具备旋转不变性，用于目标检测和识别(The LBP matrix of the calculated image has the rotation invariance for target detection and recognition)
- 2017-05-07 20:10:18下载
- 积分：1
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PolarToIm
极坐标图像转直角坐标图像，相当于球面的展开效果，最好是正方形图像，但是长方形也可以。(POLARTOIM converts polar image to rectangular image)
- 2021-04-27 18:48:44下载
- 积分：1
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ImageRegistration-master (2)
说明： 有关图像处理中的图像校正，MATLAB，亲测可行(ImageRegistration matlab)
- 2020-10-31 22:09:55下载
- 积分：1
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kalmantracking
本文件用matlab 语言，对kalman滤波的方法进行仿真，画出来原始曲线，观察值，和跟踪曲线，会对初学者有很大的帮助！(this document using Matlab language, Kalman filtering method simulation, sketching out the original curve, observed values, and tracking curve, beginners will be of great help!)
- 2006-06-23 10:02:51下载
- 积分：1
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立体匹配包含SAD SSD NCC 区域增长 census等多种常用立体匹配算法
说明： 立体匹配包含SAD SSD NCC 区域增长 census等多种常用立体匹配算法(Stereo matching includes SAD SSD NCC area growing census and other commonly used stereo matching algorithms)
- 2020-03-19 10:53:23下载
- 积分：1
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Compression
this is a program for image compression
- 2012-04-09 23:06:41下载
- 积分：1
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inhance
使用直方图均衡化函数、图像调整函数和自适应直方图均衡化函数，编写用于增强索引图像对比度的程序，显示图像对比度增强效果(Using the histogram equalization function (histeq), image adjustment function (imadjust) and adaptive histogram equalization function (adapthisteq), prepared for image contrast enhancement index procedure, showing the image contrast enhancement)
- 2010-06-15 23:48:11下载
- 积分：1
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discrim_rf
斯坦福大学的姚邦鹏开发的一个图像分类算法，使用random forest实现了图像的精细区域描述，赢得了PASCAL VOC2011图像分类竞赛中的winner prize.经测试，程序完全可运行，且提供了MAC和Windows下的两种程序。(Image Classification: An Integration of Randomization and Discrimination
in A Dense Feature Representation
The goal of our method is to identify the discriminative fine-grained image region that distinguishes different classes. To achieve this goal we sample image regions from dense sampling space and use a random forest algorithm with discriminative classifier. Each node of the tree of random forest is trained and tested with fine-grained image patches combining the information from upstream nodes together. We implemented each node of the tree with a discriminative SVM classifier, which makes the node as a strong classifier. )
- 2012-10-30 16:17:30下载
- 积分：1
