登录
首页 » matlab » bp-vision-master

bp-vision-master

于 2020-06-04 发布
0 212
下载积分: 1 下载次数: 3

代码说明:

说明:  置信度传播立体匹配,matelab就能运行,比较简单 1、需要Matlab 2013a及以上版本; 2、运行demo_stereo.m,注意修改图片路径; 3、左右图像使用3通道灰度图;(Confidence propagation stereo matching, MATELAB can run, relatively simple 1. Matlab 2013a and above is required; 2. Run demo_ Stereo. M, pay attention to modifying the image path; 3. The left and right images use 3-channel gray-scale images)

文件列表:

bp-vision-master\bp-vision-master\4.jpg, 6084 , 2020-06-04
bp-vision-master\bp-vision-master\5.jpg, 9972 , 2020-06-04
bp-vision-master\bp-vision-master\6.jpg, 5477 , 2020-06-04
bp-vision-master\bp-vision-master\bp_cb1.m, 1759 , 2015-08-07
bp-vision-master\bp-vision-master\bp_cb2.m, 1270 , 2015-08-07
bp-vision-master\bp-vision-master\bp立体匹配的结果.bmp, 686566 , 2020-05-11
bp-vision-master\bp-vision-master\demo_restore.m, 3283 , 2015-08-07
bp-vision-master\bp-vision-master\demo_stereo.m, 3620 , 2020-06-01
bp-vision-master\bp-vision-master\penguin.png, 17018 , 2015-08-07
bp-vision-master\bp-vision-master\ReadMe.txt, 103 , 2015-12-04
bp-vision-master\bp-vision-master\tsukuba1.png, 362946 , 2003-06-08
bp-vision-master\bp-vision-master\tsukuba11.png, 85953 , 2015-08-07
bp-vision-master\bp-vision-master\tsukuba12.png, 85715 , 2015-08-07
bp-vision-master\bp-vision-master\tsukuba2.png, 364420 , 2003-06-08
bp-vision-master\bp-vision-master\tsuL.bmp, 331830 , 2013-07-22
bp-vision-master\bp-vision-master\tsuR.bmp, 331830 , 2013-07-22
bp-vision-master\untitled.bmp, 1102554 , 2020-05-11
bp-vision-master\bp-vision-master, 0 , 2020-06-04
bp-vision-master, 0 , 2020-06-04

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • vc_AVI
    VC操作AVI文件的例子,老是太短,本来就只有这点说明(VC operation example of AVI files, always too short, had only this description)
    2010-02-01 10:30:17下载
    积分:1
  • 数字图像处理Matlab版自编函数
    说明:  冈萨雷斯matlab图像处理中的代码,现成的函数不同自编(Code in image processing of Gonzalez matlab)
    2020-03-07 18:20:09下载
    积分:1
  • EOSap_Smoothing
    能够实现对高光谱数据影像的平滑,可以根据需要设置平滑参数并且能够批量处理(Hyperspectral Smooth)
    2015-04-28 08:26:52下载
    积分:1
  • case1
    opencv中对扫描图片的切边处理,并且对倾斜图片进行旋转矫正,(The cutting edge of the picture in opencv, rotation correction)
    2018-07-23 16:01:17下载
    积分:1
  • problem-LastBossOrigin
    问题:找出一个短字符串在一个长字符串中的精确匹配。 要求:基于BWT压缩和FM索引技术的序列匹配,用Burrows-Wheeler transform算法解决该问题。(Problem: find the exact match of a short string in a long string. Requirements: BWT-based compression and indexing techniques sequence matching FM, with the Burrows-Wheeler transform algorithm to solve the problem)
    2020-12-26 00:09:04下载
    积分:1
  • eyesubtract1.0
    用于去除眼动,眼漂的插件。下载后解压到eeglab 插件目录下,启动matlab 设置好路径就可以自动打开,在eeglab tool 中可以选中使用。(A plug-in for removal of eye movement and eye drift. After downloading, unpack it to the eeglab plug-in directory, start MATLAB and set up the path to open automatically, which can be optionally used in eeglab tool.)
    2018-08-05 20:32:05下载
    积分:1
  • LogisticWatermark
    基于混沌的数字水印研究技术 matlab 编程 提取与嵌入(Chaos-based digital watermarking technology research extraction and Matlab programming embedded)
    2007-05-27 13:53:09下载
    积分:1
  • Archive
    抗任意角度旋转的图像匹配算法的matlab实现(image matching of any rotation )
    2009-04-05 09:12:05下载
    积分:1
  • 图像清晰度评价指标Matlab
    图像清晰度评价函数说明 1、熵: 表示图像所包含的平均信息量的多少,嫡值越大则所含信息量越多。 文件名:entropy.m 结果:EN 2、交叉嫡:反映两幅图像的差异,交叉嫡越小,则融合图像和原图像的差别越小。 文件名:cross_entropy.m 结果:平均交叉嫡MCE,均方根交叉嫡RCE 3、峰值信噪比: PSNR越高,说明融合效果与质量越好。 文件名:psnr.m 结果:PSNR 4、Qabf: 评价边缘或梯度质量,越大边缘越明显 文件名:Qabf.m 结果:Qabf(QAB/F) 5、平均梯度(Average Gradient):也称为清晰度,反映了图像中的微小细节反差与纹理变化特征,同时也反映了图像的清晰度,越大越好。 文件名:avg_gradient 调用:outval = avg_gradient(img) 6、结构相似性指数: SSIM指原图像和融合图像的相似程度,值越大越相似 文件名:ssim.m 结果:SSIM 7、互信息:MI(mutual information) 8、NMI: Normalized mutual information(Image sharpness evaluation function)
    2018-09-30 09:09:39下载
    积分:1
  • 11_人脸检测与识别系统
    1.本程序主要处理BMP位图。 2.为了方便读者学习,程序各步骤都被拆分开实现了,通过点击相应按钮可以看到每个步骤处理的结果。 3.如果是进行人脸识别,需要先打开一幅位图依次进行“人脸检测与定位”操作和“人脸特征标注”操作,然后再打开需要比较的第二幅位图,也是依次进行所有操作,最后进行识别以区分先后两个人脸。(This procedure deals mainly with BMP Bitmaps. 2. In order for the reader to learn, each step of the program is split and the results of each step can be seen by clicking the appropriate button. 3. In the case of face recognition, it is necessary to open a bitmap for "face detection and location" and "face feature tagging" in turn, then open the second bitmap to be compared, and then perform all the operations in turn, and finally identify to distinguish two faces in succession.)
    2018-02-24 09:12:44下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载