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hucai

于 2019-06-19 发布 文件大小:8196KB
0 138
下载积分: 1 下载次数: 1

代码说明:

  水表图像识别 图像预处理 哈哈就不懂四周(Water Meter Image Recognition)

文件列表:

hucai\all_data_labels.mat, 714201 , 2018-03-28
hucai\all_data_labels_231.mat, 3866301 , 2018-04-08
hucai\BPtrain.m, 862 , 2018-04-08
hucai\clean_noisy.m, 782 , 2018-03-28
hucai\get_labels.m, 1270 , 2018-04-08
hucai\hogcalculator.m, 9574 , 2019-06-03
hucai\OK\116.jpg, 14438 , 2019-03-25
hucai\OK\17.jpg, 14366 , 2019-03-25
hucai\OK\18.jpg, 14308 , 2019-03-25
hucai\OK\29.jpg, 14409 , 2019-03-25
hucai\OK\3.jpg, 14377 , 2019-03-25
hucai\OK\37.jpg, 14448 , 2019-03-25
hucai\OK\4.jpg, 14415 , 2019-03-25
hucai\OK\45.jpg, 14504 , 2019-03-25
hucai\OK\5.jpg, 14366 , 2019-03-25
hucai\OK\51.jpg, 14518 , 2019-03-25
hucai\OK\53.jpg, 14580 , 2019-03-25
hucai\OK\76.jpg, 14444 , 2019-03-25
hucai\OK\86.jpg, 14446 , 2019-03-25
hucai\OK\9.jpg, 14420 , 2019-03-25
hucai\OK\95.jpg, 14491 , 2019-03-25
hucai\OK\98.jpg, 14470 , 2019-03-25
hucai\recognizex.m, 1898 , 2019-05-30
hucai\recognize_oneimage.m, 1182 , 2018-03-29
hucai\shuibiaoTest.m, 1949 , 2019-06-02
hucai\shuibiaoTestMain.m, 3656 , 2019-06-02
hucai\split.m, 1033 , 2018-03-28
hucai\trainNet1.mat, 2571314 , 2018-04-05
hucai\出错\001.jpg, 13484 , 2019-03-25
hucai\出错\002.jpg, 13548 , 2019-03-25
hucai\出错\01.jpg, 12588 , 2019-03-19
hucai\出错\100.jpg, 14441 , 2019-03-25
hucai\出错\102.jpg, 14444 , 2019-03-25
hucai\出错\113.jpg, 14443 , 2019-03-25
hucai\出错\13.jpg, 14429 , 2019-03-25
hucai\出错\14.jpg, 14347 , 2019-03-25
hucai\出错\16.jpg, 14409 , 2019-03-25
hucai\出错\19.jpg, 14361 , 2019-03-25
hucai\出错\22.jpg, 14348 , 2019-03-25
hucai\出错\34.jpg, 14316 , 2019-03-25
hucai\出错\38.jpg, 14536 , 2019-03-25
hucai\出错\39.jpg, 14449 , 2019-03-25
hucai\出错\71.jpg, 14351 , 2019-03-25
hucai\出错\84.jpg, 14474 , 2019-03-25
hucai\出错\89.jpg, 14434 , 2019-03-25
hucai\出错\97.jpg, 14437 , 2019-03-25
hucai\识别错误\1.jpg, 14412 , 2019-03-25
hucai\识别错误\104.jpg, 14340 , 2019-03-25
hucai\识别错误\108.jpg, 14397 , 2019-03-25
hucai\识别错误\11.jpg, 14379 , 2019-03-25
hucai\识别错误\110.jpg, 14458 , 2019-03-25
hucai\识别错误\112.jpg, 14338 , 2019-03-25
hucai\识别错误\114.jpg, 14488 , 2019-03-25
hucai\识别错误\117.jpg, 14437 , 2019-03-25
hucai\识别错误\118.jpg, 14409 , 2019-03-25
hucai\识别错误\120.jpg, 14411 , 2019-03-25
hucai\识别错误\122.jpg, 14338 , 2019-03-25
hucai\识别错误\124.jpg, 14339 , 2019-03-25
hucai\识别错误\126.jpg, 14351 , 2019-03-25
hucai\识别错误\128.jpg, 14392 , 2019-03-25
hucai\识别错误\130.jpg, 14453 , 2019-03-25
hucai\识别错误\132.jpg, 14382 , 2019-03-25
hucai\识别错误\134.jpg, 14339 , 2019-03-25
hucai\识别错误\136.jpg, 14411 , 2019-03-25
hucai\识别错误\137.jpg, 14440 , 2019-03-25
hucai\识别错误\138.jpg, 14395 , 2019-03-25
hucai\识别错误\21.jpg, 14353 , 2019-03-25
hucai\识别错误\23.jpg, 14406 , 2019-03-25
hucai\识别错误\25.jpg, 14409 , 2019-03-25
hucai\识别错误\27.jpg, 14318 , 2019-03-25
hucai\识别错误\31.jpg, 14394 , 2019-03-25
hucai\识别错误\32.jpg, 14400 , 2019-03-25
hucai\识别错误\35.jpg, 14446 , 2019-03-25
hucai\识别错误\41.jpg, 14551 , 2019-03-25
hucai\识别错误\43.jpg, 14568 , 2019-03-25
hucai\识别错误\47.jpg, 14491 , 2019-03-25
hucai\识别错误\48.jpg, 14497 , 2019-03-25
hucai\识别错误\49.jpg, 14562 , 2019-03-25
hucai\识别错误\55.jpg, 14518 , 2019-03-25
hucai\识别错误\56.jpg, 14543 , 2019-03-25
hucai\识别错误\57.jpg, 14520 , 2019-03-25
hucai\识别错误\58.jpg, 14509 , 2019-03-25
hucai\识别错误\59.jpg, 14529 , 2019-03-25
hucai\识别错误\61.jpg, 14542 , 2019-03-25
hucai\识别错误\63.jpg, 14452 , 2019-03-25
hucai\识别错误\65.jpg, 14474 , 2019-03-25
hucai\识别错误\67.jpg, 14421 , 2019-03-25
hucai\识别错误\69.jpg, 14398 , 2019-03-25
hucai\识别错误\7.jpg, 14419 , 2019-03-25
hucai\识别错误\70.jpg, 14288 , 2019-03-25
hucai\识别错误\73.jpg, 14335 , 2019-03-25
hucai\识别错误\74.jpg, 14384 , 2019-03-25
hucai\识别错误\77.jpg, 14460 , 2019-03-25
hucai\识别错误\78.jpg, 14408 , 2019-03-25
hucai\识别错误\8.jpg, 14421 , 2019-03-25
hucai\识别错误\80.jpg, 14502 , 2019-03-25
hucai\识别错误\81.jpg, 14427 , 2019-03-25
hucai\识别错误\83.jpg, 14454 , 2019-03-25
hucai\识别错误\88.jpg, 14415 , 2019-03-25
hucai\识别错误\91.jpg, 14475 , 2019-03-25

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    空间金字塔,通过对图片不断的进行层次划分,对每一层的图片信息进行整理用于图片分类等(Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories )
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    说明:  改进拉普拉斯能量和的尖锐频率局部化 Contourlet 域多聚焦图像融合方法(Sum-modified-Laplacian-based Multifocus Image Fusion Method in Cycle Spinning Sharp Frequency Localized Contourlet Transform Domain)
    2011-03-01 10:07:55下载
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    2020-03-22 13:30:15下载
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    直方图是以图形化参数来显示图片曝光精确度的手段,其描述的是图片显示范围内影像的灰度分布曲线。它可以帮助分析图片的曝光水平等一些信息。(Histogram is a graphical display picture exposure parameters to measure the accuracy of its description is the picture display grayscale images within the distribution curve. It can help you analyze the picture and some information on exposure levels.)
    2013-08-03 14:33:32下载
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  • fuliyebianhuan
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    2013-05-31 19:57:28下载
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  • 输电线路钢化玻璃绝缘子(N)
    说明:  对常见的输电线路钢化玻璃绝缘子识别的研究(Identification of toughened glass insulator for transmission line)
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    简单的介绍了基于matlab的QR码的识别,包括图像的预处理,图像定位,图像的识别等(This paper briefly introduces the recognition of QR code based on matlab, including image preprocessing, image positioning, image recognition and so on.)
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    说明:  1.使用medfilt2函数对‘lena.bmp’进行不同模板大小的中值滤波,并观察效果 2.使用fspecial函数构造‘gaussian’, ‘sobel’, ‘prewitt’, ‘laplacian’, ‘average’等不同滤波算子,使用filter2函数对‘cameraman.tif ’进行滤波,观察不同滤波器的效果 3.设计频域理想低通和理想高通滤波器,对‘phantom.bmp’图像进行频域滤波,显示滤波结果。然后改变截止频率,观察对结果的影响。 4.对‘homo.bmp’进行同态滤波,其中频域同态滤波器自行设计。要求在程序注释中说明你设计该滤波器的思想。(1' lena.bmp 'The median filtering with different template sizes was carried out and the effect was observed2. Fsspecial function is used to construct different filter operators such as' Gaussian ',' Sobel ',' Prewitt ',' Laplacian ',' average ', etc' cameraman.tif 'Filter and observe the effect of different filters3. Design ideal low pass and ideal high pass filters in frequency domain' phantom.bmp 'The image is filtered in frequency domain and the filtering result is displayed. Then change the cut-off frequency and observe the effect on the results.4. Yes' homo.bmp 'The homomorphic filter is designed by ourselves. The idea of designing the filter should be explained in the program notes.)
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