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LTP_demo-v1

于 2019-01-11 发布
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下载积分: 1 下载次数: 13

代码说明:

说明:  对图像进行纹理特征提取,有LBP,旋转不变lbp,统一lbp,小波特征提取等比较齐全的特征提取算法(Texture feature extraction of images, such as LBP, rotation invariant lbp, unified lbp, wavelet feature extraction and other relatively complete feature extraction algorithms)

文件列表:

LTP_demo-v1\02463d254.pgm, 19515 , 2006-11-23
LTP_demo-v1\02463d282.pgm, 19515 , 2006-11-23
LTP_demo-v1\contents.m, 1537 , 2007-09-18
LTP_demo-v1\demo.m, 4030 , 2008-09-23
LTP_demo-v1\dist_chi2.m, 806 , 2007-09-18
LTP_demo-v1\dist_lbp_disttrans.m, 2557 , 2007-09-17
LTP_demo-v1\fftcoord.m, 435 , 2006-11-26
LTP_demo-v1\GaborFilter.m, 1416 , 2008-04-22
LTP_demo-v1\gauss.m, 125 , 2005-05-24
LTP_demo-v1\gaussianfilter.m, 507 , 2006-12-04
LTP_demo-v1\is_uniform_pattern.m, 236 , 2007-09-17
LTP_demo-v1\lbp_histo.m, 149 , 2007-02-12
LTP_demo-v1\lbp_image.m, 1081 , 2007-09-17
LTP_demo-v1\lbp_image_set0.m, 327 , 2007-09-17
LTP_demo-v1\lbp_image_set2.m, 828 , 2007-09-17
LTP_demo-v1\LICENSE.txt, 23211 , 2007-09-17
LTP_demo-v1\ltp_image.m, 1287 , 2007-09-17
LTP_demo-v1\ltp_image_set0.m, 287 , 2007-09-17
LTP_demo-v1\ltp_image_set2.m, 790 , 2007-09-17
LTP_demo-v1\mask.mat, 845 , 2006-11-27
LTP_demo-v1\preproc2.m, 4291 , 2007-09-17
LTP_demo-v1\README.txt, 973 , 2007-09-18
LTP_demo-v1\uniform_pattern.m, 406 , 2007-09-18
LTP_demo-v1, 0 , 2008-03-24

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发表评论

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  • huxiangguangtuixangpipei
    这是一种简单的互相关图像匹配算法,已经在matlab环境下测试过,效果很好。附带两张匹配图片(This is a simple cross-correlation image matching algorithm has been tested in the matlab environment, the effect is very good. With two matching pictures)
    2013-06-08 11:18:45下载
    积分:1
  • SaliencyToolbox
    官方版SaliencyToolbox最新版本,对加载图片进行视觉注意机制的显著性运算,压缩包内含多张素材图片(The latest version of official version SaliencyToolbox of, load the image of the visual attention mechanism, a significant sex operator, compressed packets containing more than one material picture)
    2012-08-15 21:25:16下载
    积分:1
  • source
    图像处理系列之边缘检测篇 涵盖内容: 1>Roberts算子 2>Prewitt算子 3>Sobel算子 4>Laplacian算子(Edge Detection)
    2013-04-16 11:14:21下载
    积分:1
  • dwt2_shuiyin
    dwt数字水印算法源代码,对剪切,加躁,旋转,JPEG压缩有较好的鲁棒性(dwt digital watermarking algorithm source code to shear, plus a bit, rotation, JPEG compression with better robustness)
    2007-05-26 12:25:40下载
    积分:1
  • imageica-matlab.tar
    数字图像质量评价量:计算数字图像在基于像素统计差异、基于相似性度量统计差异、基于频谱统计差异以及基于人眼视觉系统统计差异等的图像质量评价量(Digital image quality evaluation of the volume: calculating the number of images in the pixel-based statistical difference, similarity measure based on statistical differences, based on statistical difference spectrum, as well as human visual system based on statistical differences in image quality evaluation of the volume of)
    2021-04-15 21:18:54下载
    积分:1
  • MIFncObject
    刚体配准方法中,通常使用互信息函数作为相似性测度,此类提供计算的封装。(rigid registration method, which is commonly used as a mutual information function similar measure, the provision of such calculation package.)
    2006-12-30 18:47:18下载
    积分:1
  • cloud_remove
    遥感图像除云软件,原理是图像同时期替换掉有云区域,使用IDL语言编写(remove cloud from remote sensing image)
    2020-12-13 16:09:14下载
    积分:1
  • EyeTracking-with-OpenCV--
    说明:  转载的,通过眨眼前后灰度图对比是别人眼,一个学习opencv工具的好例程。(Reproduced by blinking eyes of others around the grayscale contrast, a learning tool opencv good routine.)
    2011-03-19 21:57:03下载
    积分:1
  • BayesWaveletDenoise
    贝叶斯小波去噪是基于小波变换得软阈值贝叶斯去噪算法。(Bayesian wavelet denoising is wavelet-based Bayesian denoising was soft-thresholding algorithm.)
    2020-09-22 11:17:52下载
    积分:1
  • src
    说明:  ORB-SLAM 基本延续了 PTAM 的算法框架,但对框架中的大部分组件都做了改进, 归纳起来主要有 4 点: ORB-SLAM 选用了 ORB 特征, 基于 ORB 描述量的特征匹配和重定位, 都比 PTAM 具有更好的视角不变性。此外, 新增三维点的特征匹配效率更高, 因此能更及时地扩展场景。扩展场景及时与否决定了后续帧是否能稳定跟踪。ORBSLAM 加入了循环回路的检测和闭合机制, 以消除误差累积。系统采用与重定位相同的方法来检测回路(匹配回路两侧关键帧上的公共点), 通过方位图 (Pose Graph) 优化来闭合回路。PTAM 需要用户指定 2 帧来初始化系统, 2 帧间既要有足够的公共点, 又要有足够的平移量. 平移运动为这些公共点提供视差 (Parallax) , 只有足够的视差才能三角化出精确的三维位置。ORB-SLAM 通过检测视差来自动选择初始化的 2 帧。PTAM 扩展场景时也要求新加入的关键帧提供足够的视差, 导致场景往往难以扩展. ORB-SLAM 采用一种更鲁棒的关键帧和三维点的选择机制——先用宽松的判断条件尽可能及时地加入新的关键帧和三维点, 以保证后续帧的鲁棒跟踪; 再用严格的判断条件删除冗余的关键帧和不稳定的三维点,以保证 BA 的效率和精度。(Orb-slam basically continues the algorithm framework of PTAM, but most of the components in the framework have been improved, which mainly includes four points:)
    2020-06-11 23:43:54下载
    积分:1
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