登录
首页 » matlab » DSIFT_EF

DSIFT_EF

于 2020-11-02 发布
0 239
下载积分: 1 下载次数: 1

代码说明:

说明:  用于处理亮度不一样或者曝光时间长短不一样的图像,通过图像融合增强图像效果。(Used to process images with different brightness or different exposure time, and enhance the image effect through image fusion.)

文件列表:

DSIFT_EF\DENSE-SIFT.pdf, 7092378 , 2020-06-06
DSIFT_EF\dense.jpg, 150781 , 2020-06-04
DSIFT_EF\dense1.jpg, 106521 , 2020-05-30
DSIFT_EF\DenseSIFT.m, 3748 , 2014-10-08
DSIFT_EF\Dsift1\2-15--50.png, 1021733 , 2020-10-20
DSIFT_EF\Dsift1\2-15-35.png, 1175090 , 2020-10-20
DSIFT_EF\Dsift1\2-15-75.png, 795987 , 2020-10-20
DSIFT_EF\Dsift1\2-15-r-25.jpg, 151777 , 2020-10-20
DSIFT_EF\Dsift1\re1.jpg, 75302 , 2020-10-20
DSIFT_EF\DSIFTNormalization.m, 1422 , 2014-10-08
DSIFT_EF\DSIFT_fusion.m, 2688 , 2015-07-16
DSIFT_EF\exp-DSIFT_EF\exp10\10000.jpg, 703870 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp10\30000.jpg, 606233 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp10\400.jpg, 398646 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp10\6000.jpg, 629868 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp10\result10-DSIFT_EF.jpg, 667396 , 2020-10-17
DSIFT_EF\exp-DSIFT_EF\exp11\10000.jpg, 703870 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp11\20000.jpg, 679703 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp11\400.jpg, 398646 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp11\6000.jpg, 629868 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp11\result11-DSIFT_EF.jpg, 665324 , 2020-10-17
DSIFT_EF\exp-DSIFT_EF\exp12\10000.jpg, 703870 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp12\40000.jpg, 504592 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp12\500.jpg, 478214 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp12\6000.jpg, 629868 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp12\result12-DSIFT_EF.jpg, 678771 , 2020-10-19
DSIFT_EF\exp-DSIFT_EF\exp13\10000.jpg, 703870 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp13\30000.jpg, 606233 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp13\500.jpg, 478214 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp13\6000.jpg, 629868 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp13\result13-DSIFT_EF.jpg, 664439 , 2020-10-17
DSIFT_EF\exp-DSIFT_EF\exp14\10000.jpg, 703870 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp14\20000.jpg, 679703 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp14\500.jpg, 478214 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp14\6000.jpg, 629868 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp14\result14-DSIFT_EF.jpg, 663274 , 2020-10-17
DSIFT_EF\exp-DSIFT_EF\exp15\1000.jpg, 574287 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp15\10000.jpg, 703870 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp15\2000.jpg, 566842 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp15\6000.jpg, 629868 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp15\result15-DSIFT_EF.jpg, 600974 , 2020-10-17
DSIFT_EF\exp-DSIFT_EF\exp4\10000.jpg, 817264 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp4\2000.jpg, 697661 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp4\500.jpg, 502663 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp4\5000.jpg, 733092 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp4\result4-DSIFT_EF.jpg, 723480 , 2020-10-17
DSIFT_EF\exp-DSIFT_EF\exp5\2000.jpg, 697661 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp5\20000.jpg, 831787 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp5\300.jpg, 421860 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp5\5000.jpg, 733092 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp5\result5-DSIFT_EF.jpg, 751411 , 2020-10-17
DSIFT_EF\exp-DSIFT_EF\exp6\2000.jpg, 697661 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp6\300.jpg, 421860 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp6\30000.jpg, 653095 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp6\5000.jpg, 733092 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp6\result6-DSIFT_EF.jpg, 715878 , 2020-10-17
DSIFT_EF\exp-DSIFT_EF\exp7\1000.jpg, 593227 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp7\10000.jpg, 817264 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp7\2000.jpg, 697661 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp7\5000.jpg, 733092 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp7\result7-DSIFT_EF.jpg, 720634 , 2020-10-17
DSIFT_EF\exp-DSIFT_EF\exp8\1000.jpg, 593227 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp8\2000.jpg, 697661 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp8\20000.jpg, 831787 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp8\5000.jpg, 733092 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp8\result8-DSIFT_EF.jpg, 749140 , 2020-10-17
DSIFT_EF\exp-DSIFT_EF\exp9\10000.jpg, 703870 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp9\400.jpg, 398646 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp9\40000.jpg, 504592 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp9\6000.jpg, 629868 , 2020-10-16
DSIFT_EF\exp-DSIFT_EF\exp9\result9-DSIFT_EF.jpg, 664977 , 2020-10-17
DSIFT_EF\images\flash\flash.jpg, 18048 , 2014-07-12
DSIFT_EF\images\flash\no_flash.jpg, 17815 , 2014-07-12
DSIFT_EF\images\ForrestSequence\1_Scene7_10.tif, 2130592 , 2009-07-09
DSIFT_EF\images\ForrestSequence\2_Scene7_09.tif, 2131344 , 2009-07-09
DSIFT_EF\images\ForrestSequence\3_Scene7_05.tif, 2131932 , 2009-07-09
DSIFT_EF\images\ForrestSequence\4_Scene7_13.tif, 2132444 , 2009-07-09
DSIFT_EF\images\garage\garage1.jpg, 78876 , 2013-10-04
DSIFT_EF\images\garage\garage2.jpg, 94708 , 2013-10-04
DSIFT_EF\images\garage\garage3.jpg, 98137 , 2013-10-04
DSIFT_EF\images\garage\garage4.jpg, 91849 , 2013-10-04
DSIFT_EF\images\garage\garage5.jpg, 55957 , 2013-10-04
DSIFT_EF\images\garage\garage6.jpg, 44825 , 2013-10-04
DSIFT_EF\images\multitwo\1.jpg, 859473 , 2020-05-30
DSIFT_EF\images\multitwo\2.jpg, 370538 , 2020-05-30
DSIFT_EF\images\multitwo\3.jpg, 747529 , 2020-05-30
DSIFT_EF\images\multitwo\4.jpg, 447400 , 2020-05-30
DSIFT_EF\images\new\12000.jpg, 613269 , 2020-06-09
DSIFT_EF\images\new\2000.jpg, 523340 , 2020-06-08
DSIFT_EF\images\new\20000.jpg, 627509 , 2020-06-09
DSIFT_EF\images\new\500.jpg, 440167 , 2020-06-08
DSIFT_EF\images\new\8000.jpg, 582137 , 2020-06-08
DSIFT_EF\images\new2\10000.jpg, 565376 , 2020-06-08
DSIFT_EF\images\new2\20000.jpg, 614251 , 2020-06-09
DSIFT_EF\images\new2\3000.jpg, 517154 , 2020-06-09
DSIFT_EF\images\new2\500.jpg, 388774 , 2020-06-09
DSIFT_EF\images\text\130.bmp, 3981366 , 2020-05-26
DSIFT_EF\images\text\20.bmp, 3981366 , 2020-05-26
DSIFT_EF\images\text\250.bmp, 3981366 , 2020-05-26
DSIFT_EF\images\text\75.bmp, 3981366 , 2020-05-26

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

  • MRMRF_imgSegmentation
    基于多尺度MRF模型的图像分割算法。使用提升小波对原始图像进行分解,使用ICM算法进行分割处理(Multi-scale MRF model based image segmentation algorithm. The original image using lifting wavelet decomposition, the use of ICM segmentation algorithm)
    2011-06-10 17:36:02下载
    积分:1
  • gaussianba
    使用特征差别提取,通过特征差别相减,以去除高斯背景(Using the characteristics of different extraction, the characteristics of different background subtraction, to remove Gauss)
    2014-01-07 17:31:17下载
    积分:1
  • otsu_filterlocal
    改进的otsu算法,计算局部otsu的值确定局部小区域。对于光照不均匀图像处理有比较好的适应( Improved otsu algorithm to calculate the value of the local otsu determine the local small area. For uneven illumination image processing has a relatively good adaptation)
    2016-08-09 15:18:40下载
    积分:1
  • QR
    说明:  实现手机拍摄图像的二维码图像的提取,包括QR码的旋转与校正,也可以用于其他条码,但是效果不是很好(The realization of mobile dimensional code image captured image extraction, rotation and including a QR code correction can also be used for other bar code, but the effect is not very good)
    2013-10-17 16:13:35下载
    积分:1
  • blindBAYNLM
    图像降噪、贝叶斯估计、盲源降噪,采用盲源方法进行噪声估计,再进行贝叶斯非局部均值降噪(Image denoising, Bias estimation and blind source noise,The blind source method for noise estimation, then the Bayes non local mean noise reduction)
    2016-02-27 19:58:19下载
    积分:1
  • C_V
    CV水平集模型实现对图像的分割,收敛快,收敛效果优于GAC 模型。(CV levelset model to realize image segementation)
    2012-07-11 08:51:55下载
    积分:1
  • ISARcode
    说明:  ISAR成像例程,对Yak42飞机数据经过包络对齐和相位校正后进行成像。(The ISAR imaging routine images the Yak42 aircraft data after envelope alignment and phase correction.)
    2021-04-16 10:28:54下载
    积分:1
  • Untitled
    有效的实现车牌定位,车牌字符分割和车牌字符识别。(To achieve effective positioning plate, the vehicle registration license plate character segmentation and character recognition.)
    2009-05-12 22:03:11下载
    积分:1
  • ostu
    此代码应用于图像分割,是基于类间方差的大津法求分割阈值(This code applies to image segmentation is based on the variance between two classes of Otsu threshold segmentation uated)
    2015-12-01 18:46:59下载
    积分:1
  • SparseLab21-Core
    压缩感知理论稀疏分解工具箱 内附详细的工具箱使用说明及其大量的例程(Compressed sensing theory of sparse decomposition toolbox toolbox included detailed instructions and a large number of routines)
    2020-10-23 21:17:21下载
    积分:1
  • 696516资源总数
  • 106918会员总数
  • 4今日下载