Practical Digital Image Processing 1
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The document provides an overview of a practical lab on digital image processing. It discusses using OpenCV with Python to load and manipulate images and video. The lab covers acquiring image data by loading images and video, and performing image processing techniques like filters, blurring, and a simple object tracking demo. The coursework includes assignments on implementing Instagram-style filters and a final project.
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Practical Digital Image Processing 1
- 1. Practical 1 - Digital Image Processing Aly Osama
- 3. “ I , ff “ “I think programming assignments would be more useful and fun if they were applications not wireshark (wasn't that useful)” “ Wireshark assignments were very useful and I feel that project was useless” “ Image Processing Course will be much better than Computer Networks” “Regarding image processing, We need some projects worth putting in CV”
- 4. Image Processing Course “Best Course Eveeaaaaaaar”
- 6. Lab Description 1. Talk about Industry or new Techniques in Image Processing (20 minutes) 2. Explain several algorithms using OpenCV ( 20 Minutes ) 3. Practical Workshop ( 40 minutes )
- 8. Image Processing vs Computer Vision Digital Image Processing: the analysis and manipulation of a digitized image, especially in order to improve its quality.
- 9. Stages of Computer Vision
- 10. OpenCV - Enabling computer vision ● Open Source Computer Vision library ● Cross-platform ● Free for use under open source BSD license ● Can be easily used with Java, Python, C and C++ ● Supports Machine Learning libraries such as TensorFlow and Caffe. ● https://opencv.org
- 11. This Workshop We’ll be using OpenCV with Python New to Python? Check this video (Learn python in OneVideo) https://www.youtube.com/watch?v=N4mEzFDjqtA
- 12. Part 1 - Acquisition of Image Data 1. Test Library 2. Load Image 3. Load Video
- 13. 1. 1 Test Library
- 14. 1.2 Importing Image This code imports an image and outputs it to a window and waits for any user keyboard input to terminate.
- 15. cv2.imread()
- 17. cv2.imshow()
- 18. cv2.waitKey()
- 20. cv2.VideoCapture
- 21. Using webcam
- 22. Part 2 : Image Processing
- 23. Image Type and Content
- 24. Colored Image
- 26. Blurring images in OpenCV
- 28. Practical Demo Simple Object Tracking Demo
- 29. Useless Marks Coursework ( Total 40 points ) ● 1 Quiz (5 points) ● 3 Assignments ( 5 points * 3 ) - two weeks each - ● 1 Project ( 15 points ) - Four weeks - ● Bonus ○ 1 Quiz ( 5 points ) ○ 1 Assignment ( 5 points ) ○ Lab interaction ( 5 points )
- 30. Assignment 1 ● Description: Implement any 5 filters of Instagram filters ● Points: 5 points ● Deliverables: ○ Jupyter (html) notebook ○ Input: image ○ Implement Function: ■ insta_like(image,filter_name) ○ Output: new image for each filter ● Deadline: 25th Feb. at 11:00 pm ● Hint: https://goo.gl/RDpcCn