OpenCV Image and Video Processing

This repository demonstrates various image and video processing techniques using the OpenCV library in Python.

Prerequisites

Ensure you have opencv-python and numpy installed.

pip install opencv-python numpy

Project Structure

• persons-bike.jpg - Sample image with persons and bikes.
• sample.jpg - Another sample image.
• sample_out.jpg - Sample output image.

Functions and Use Cases

1. cv.imread(), cv.imshow() - Reading and Displaying Images

• Use Case: Read an image from disk and display it in a window.

2. cv.cvtColor() - Color Space Conversion

• Use Case: Convert an image from one color space to another, e.g., BGR to Grayscale.
• • Screenshots:

3. cv.threshold(), cv.adaptiveThreshold() - Thresholding

• Use Case: Convert an image to binary using simple or adaptive thresholding.
• Screenshots:

4. cv.resize() - Resizing Images

• Use Case: Resize an image to the desired dimensions.

5. cv.VideoCapture() - Basic Video Handling

• Use Case: Read frames from a video file and display them.

6. cv.VideoCapture(0) - Webcam Operations

• Use Case: Capture video from the webcam and display it in real-time.

7. cv.Canny(), cv.dilate() - Edge Detection and Dilation

• Use Case: Detect edges in an image and expand the boundaries of objects.
• Screenshots:

8. cv.line(), cv.rectangle(), cv.circle(), cv.putText() - Drawing Shapes and Text

• Use Case: Draw lines, rectangles, circles, and text on an image.
• • Screenshots:

9. Cropping an Image

• Use Case: Crop a region of interest from an image and save it.

10. cv.findContours(), cv.rectangle() - Contour Detection

• Use Case: Find contours in an image and draw bounding boxes around detected objects.
• Screenshots:

11. cv.blur(), cv.GaussianBlur(), cv.medianBlur() - Image Blurring

• Use Case: Apply different blurring techniques to reduce noise and detail in an image.
• Screenshots:

Conclusion

This project covers a wide range of image and video processing techniques using OpenCV. Each function serves a specific purpose, from basic image manipulation to video handling and advanced image processing tasks. Feel free to experiment with the code to suit your needs.