- OpenCV Python - Home
- OpenCV Python - Overview
- OpenCV Python - Environment
- OpenCV Python - Reading Image
- OpenCV Python - Write Image
- OpenCV Python - Using Matplotlib
- OpenCV Python - Image Properties
- OpenCV Python - Bitwise Operations
- OpenCV Python - Shapes and Text
- OpenCV Python - Mouse Events
- OpenCV Python - Add Trackbar
- OpenCV Python - Resize and Rotate
- OpenCV Python - Image Threshold
- OpenCV Python - Image Filtering
- OpenCV Python - Edge Detection
- OpenCV Python - Histogram
- OpenCV Python - Color Spaces
- OpenCV Python - Transformations
- OpenCV Python - Image Contours
- OpenCV Python - Template Matching
- OpenCV Python - Image Pyramids
- OpenCV Python - Image Addition
- OpenCV Python - Image Blending
- OpenCV Python - Fourier Transform
- OpenCV Python - Capture Videos
- OpenCV Python - Play Videos
- OpenCV Python - Images From Video
- OpenCV Python - Video from Images
- OpenCV Python - Face Detection
- OpenCV Python - Meanshift/Camshift
- OpenCV Python - Feature Detection
- OpenCV Python - Feature Matching
- OpenCV Python - Digit Recognition
- OpenCV Python Resources
- OpenCV Python - Quick Guide
- OpenCV Python - Resources
- OpenCV Python - Discussion
Quiz on Image Thresholding in OpenCV Python
1. What is the purpose of image thresholding in OpenCV?
2. Which function is used for simple thresholding in OpenCV?
3. What are the possible thresholding types available in OpenCV?
4. What does the cv2.THRESH_BINARY flag do?
5. What is the output of cv2.threshold() function?
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