DIPcourse

所属分类:图形图像处理
开发工具:Jupyter Notebook
文件大小:10053KB
下载次数:0
上传日期:2018-02-24 19:51:33
上 传 者sh-1993
说明:  欧陆大学521467A数字图像处理课程的编程练习
(Programming exercise for the 521467A Digital Image Processing course at University of Oulu)

文件列表:
DIP_PA1 (0, 2018-02-25)
DIP_PA1\DIP_PA1.ipynb (317334, 2018-02-25)
DIP_PA1\cameraman.tif (65240, 2018-02-25)
DIP_PA1\moonunsharp.tif (251964, 2018-02-25)
DIP_PA1\pout.tif (69004, 2018-02-25)
DIP_PA2 (0, 2018-02-25)
DIP_PA2\DIP_PA2.ipynb (14518, 2018-02-25)
DIP_PA2\hplptest.jpg (57729, 2018-02-25)
DIP_PA3 (0, 2018-02-25)
DIP_PA3\DIP_PA3.ipynb (2509566, 2018-02-25)
DIP_PA3\cameraman.tif (65240, 2018-02-25)
DIP_PA3\cameraman_noise1.tif (66288, 2018-02-25)
DIP_PA3\cameraman_noise2.tif (65410, 2018-02-25)
DIP_PA3\logo_noise3.png (19412, 2018-02-25)
DIP_PA3\periodic.tif (264406, 2018-02-25)
DIP_PA4 (0, 2018-02-25)
DIP_PA4\DIP_PA4.ipynb (3380738, 2018-02-25)
DIP_PA4\jetplane.png (138960, 2018-02-25)
DIP_PA4\lighthouse.bmp (263222, 2018-02-25)
DIP_PA4\mandril.png (569329, 2018-02-25)
DIP_PA5 (0, 2018-02-25)
DIP_PA5\DIP_PA5.ipynb (573990, 2018-02-25)
DIP_PA5\eight.tif (59640, 2018-02-25)
DIP_PA5\light.mat (596480, 2018-02-25)
pre-tutorials (0, 2018-02-25)
pre-tutorials\DIPtutorial-arrays-and-numpy.ipynb (33292, 2018-02-25)
pre-tutorials\DIPtutorial-image-processing.ipynb (3638487, 2018-02-25)
pre-tutorials\figA.jpeg (211798, 2018-02-25)
pre-tutorials\figC.png (90000, 2018-02-25)
pre-tutorials\figE.png (21522, 2018-02-25)
pre-tutorials\figF.png (15413, 2018-02-25)
pre-tutorials\mandril.png (599840, 2018-02-25)
... ...

# 521467A-02 Digital Image Processing course - programming exercise This repository contains the Jupyter notebooks and related files used in the Python programming exercise for the [521467A Digital Image Processing course](https://noppa.oulu.fi/noppa/kurssi/521467a/etusivu) at the University of Oulu, including (1) the pre-tutorials on NumPy and image processing with Python, (2) the actual weekly homework assignments, (3) all test images. Please, see the notebooks for more details on e.g. submission guideline. All notebooks and assignments should be Python 2/3 compatible. For more information, or bug reporting, feel free to contact at jukka.komulainen@kapsi.fi.

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