https://github.com/ostad-ai/computer-vision-and-image-processing

A repository for topics and programs on Computer Vision and image Processing
https://github.com/ostad-ai/computer-vision-and-image-processing

computer-vision image-processing image-rotation opencv python

Last synced: 2 months ago
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A repository for topics and programs on Computer Vision and image Processing

• Host: GitHub
• URL: https://github.com/ostad-ai/computer-vision-and-image-processing
• Owner: ostad-ai
• License: mit
• Created: 2022-11-20T17:44:27.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-12-03T13:49:35.000Z (over 3 years ago)
• Last Synced: 2025-03-17T02:45:07.481Z (over 1 year ago)
• Topics: computer-vision, image-processing, image-rotation, opencv, python
• Language: Jupyter Notebook
• Homepage:
• Size: 130 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Computer Vision and Image Processing

1. **OpenCV Tutorial, Image Rotation:** Here, a blank image is created. Then, it is filled by two rectangles using *rectangle* function. Next, the image is interactively rotated by changing the angle of rotation with a trackBar created by *createTrackbar*. Functions *getRotationMatrix2D* and *warpAffine* are used to implement the rotation around the center of the image.

![A snapshot of OpenCV Tutorial: Image Rotation](Media/opencv-tutorial-image-rotation.jpg) *Figure 1: A snapshot of image rotation by angle 30.*

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2. **OpenCV Tutorial, Minimum Area Rectangle:** Using function *cv2.minAreaRect*, we find the boundign rectangle with minimum area for a set of poits. Here, points of a text are used. By pressing any key, the text image is randomly rotated. Then, we draw the computed minimum area rectangle over the image.

![A snapshot of OpenCV Tutorial: Minimum Area Rectangle](Media/opencv-tutorial-minimum-area-rectangle.jpg) *Figure 2: A snapshot of the rotated text image and its bounding rectangle.*

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