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Matlab代码

于 2019-06-05 发布
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代码说明：

说明：  师兄给的一套图像处理代码，包括预处理，图像融合，特征提取，组织电视别及校正，SVM分类等等，可以学习。(Brother gave a set of image processing codes, including preprocessing, image fusion, feature extraction, organization and correction of television, SVM classification and so on, can be learned.)

文件列表：

Matlab代码\1.双面匹配与仿射变换\edge_and_radon.m, 1113 , 2015-11-02
Matlab代码\2.颜色空间转换\cform_rgb2lab.m, 997 , 2018-06-10
Matlab代码\2.颜色空间转换\color_removal_handpass.m, 1111 , 2018-06-09
Matlab代码\3.图像融合\Butterworth_filter.m, 509 , 2016-01-07
Matlab代码\3.图像融合\merge_average.m, 361 , 2016-01-06
Matlab代码\3.图像融合\merge_wavelet.m, 2362 , 2016-01-06
Matlab代码\3.图像融合\merge_wavelet_double.m, 4343 , 2016-01-06
Matlab代码\3.图像融合\拉普拉斯金字塔\dec2.m, 202 , 2015-12-12
Matlab代码\3.图像融合\拉普拉斯金字塔\es2.m, 519 , 2015-12-12
Matlab代码\3.图像融合\拉普拉斯金字塔\fuse_lap.m, 2015 , 2018-06-10
Matlab代码\3.图像融合\拉普拉斯金字塔\lap_fusion.m, 752 , 2018-06-10
Matlab代码\3.图像融合\拉普拉斯金字塔\selb.m, 503 , 2015-12-12
Matlab代码\3.图像融合\拉普拉斯金字塔\selc.m, 1880 , 2015-12-12
Matlab代码\3.图像融合\拉普拉斯金字塔\undec2.m, 234 , 2015-12-12
Matlab代码\3.图像融合\指标评价\Average_Gradient.m, 311 , 2015-12-24
Matlab代码\3.图像融合\指标评价\AVE_BACK.bmp, 236278 , 2015-12-27
Matlab代码\3.图像融合\指标评价\AVE_FACE.bmp, 236278 , 2015-12-27
Matlab代码\3.图像融合\指标评价\back.bmp, 263222 , 2015-12-12
Matlab代码\3.图像融合\指标评价\Entropy.m, 845 , 2016-01-07
Matlab代码\3.图像融合\指标评价\face.bmp, 263222 , 2015-12-12
Matlab代码\3.图像融合\指标评价\fusion_average.bmp, 263222 , 2015-12-12
Matlab代码\3.图像融合\指标评价\fusion_lap.jpg, 320644 , 2015-12-12
Matlab代码\3.图像融合\指标评价\fusion_weavelet.bmp, 263222 , 2015-12-25
Matlab代码\3.图像融合\指标评价\fusion_weavelet_improve.bmp, 263222 , 2015-12-12
Matlab代码\3.图像融合\指标评价\Gray Level Distribution (AVE).bmp, 236278 , 2015-12-24
Matlab代码\3.图像融合\指标评价\Gray Level Distribution (lap).bmp, 236278 , 2015-12-24
Matlab代码\3.图像融合\指标评价\Gray Level Distribution (wavelet).bmp, 236278 , 2015-12-25
Matlab代码\3.图像融合\指标评价\Gray Level Distribution (wavelet_improve).bmp, 236278 , 2015-12-24
Matlab代码\3.图像融合\指标评价\LAP_BACK.bmp, 236278 , 2015-12-27
Matlab代码\3.图像融合\指标评价\LAP_FACE.bmp, 236278 , 2015-12-27
Matlab代码\3.图像融合\指标评价\Mutual_Information.m, 2725 , 2016-01-07
Matlab代码\3.图像融合\指标评价\The Probability of Gray Level (ave).bmp, 236278 , 2015-12-24
Matlab代码\3.图像融合\指标评价\The Probability of Gray Level (lap).bmp, 236278 , 2015-12-24
Matlab代码\3.图像融合\指标评价\The Probability of Gray Level (wavelet).bmp, 236278 , 2015-12-25
Matlab代码\3.图像融合\指标评价\The Probability of Gray Level (wavelet_improve).bmp, 236278 , 2015-12-24
Matlab代码\3.图像融合\指标评价\WAVELET2_BACK.bmp, 236278 , 2015-12-27
Matlab代码\3.图像融合\指标评价\WAVELET2_FACE.bmp, 236278 , 2015-12-27
Matlab代码\3.图像融合\指标评价\WAVELET_BACK.bmp, 236278 , 2015-12-27
Matlab代码\3.图像融合\指标评价\WAVELET_FACE.bmp, 236278 , 2015-12-27
Matlab代码\4.经纬纱重建\reconstruction_of_warp_and_weft.m, 4205 , 2016-01-09
Matlab代码\5.网格划分\color_removal.m, 651 , 2016-04-14
Matlab代码\5.网格划分\grid_revised.m, 3060 , 2018-06-03
Matlab代码\5.网格划分\Histogram_Equalization.m, 358 , 2016-04-14
Matlab代码\5.网格划分\rgb2gray.m, 289 , 2016-04-14
Matlab代码\5.网格划分\smooth1.m, 647 , 2016-03-28
Matlab代码\5.网格划分\spline.m, 701 , 2016-03-28
Matlab代码\5.网格划分\wiener_filter.m, 304 , 2016-04-04
Matlab代码\6.特征参数提取\lbp_8neighbors.m, 6428 , 2016-05-23
Matlab代码\6.特征参数提取\lbp_revised.m, 4647 , 2016-05-22
Matlab代码\6.特征参数提取\local_binary_patterns.m, 5476 , 2016-05-15
Matlab代码\6.组织点属性识别\gray_variation.m, 2810 , 2017-12-09
Matlab代码\6.组织点属性识别\gv.m, 2350 , 2016-05-27
Matlab代码\6.组织点属性识别\纬组织点模型.bmp, 44154 , 2016-05-29
Matlab代码\6.组织点属性识别\纬组织点模板.xls, 18944 , 2016-05-24
Matlab代码\6.组织点属性识别\经组织点模型.bmp, 44154 , 2016-05-29
Matlab代码\6.组织点属性识别\经组织点模板.xls, 18944 , 2016-05-24
Matlab代码\7.k近邻算法组织点校正\interlace_recognition.m, 3603 , 2016-06-30
Matlab代码\7.k近邻算法组织点校正\K_neighbor.m, 649 , 2016-06-15
Matlab代码\7.k近邻算法组织点校正\zuzhitu.m, 899 , 2016-06-30
Matlab代码\8.配色模纹图\color_values.m, 691 , 2016-10-27
Matlab代码\8.配色模纹图\cropping(500x500).m, 417 , 2016-09-17
Matlab代码\8.配色模纹图\rgb2Lab.m, 853 , 2016-10-28
Matlab代码\8.配色模纹图\rgb_extraction.m, 2847 , 2016-09-30
Matlab代码\SVM\bedroom.mat, 1358 , 2015-03-27
Matlab代码\SVM\forest.mat, 1338 , 2015-03-27
Matlab代码\SVM\labelset.mat, 184 , 2015-03-27
Matlab代码\SVM\SVM (2).m, 1462 , 2016-05-18
Matlab代码\SVM\svm.m, 281 , 2016-05-18
Matlab代码\3.图像融合\拉普拉斯金字塔, 0 , 2018-08-31
Matlab代码\3.图像融合\指标评价, 0 , 2018-08-31
Matlab代码\1.双面匹配与仿射变换, 0 , 2018-08-31
Matlab代码\2.颜色空间转换, 0 , 2018-08-31
Matlab代码\3.图像融合, 0 , 2018-08-31
Matlab代码\4.经纬纱重建, 0 , 2018-08-31
Matlab代码\5.网格划分, 0 , 2018-08-31
Matlab代码\6.特征参数提取, 0 , 2018-08-31
Matlab代码\6.组织点属性识别, 0 , 2018-08-31
Matlab代码\7.k近邻算法组织点校正, 0 , 2018-08-31
Matlab代码\8.配色模纹图, 0 , 2018-08-31
Matlab代码\SVM, 0 , 2018-08-31
Matlab代码, 0 , 2018-08-31

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