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