Question: Create a Python program that detects and recognizes basic shapes (e.g., circle, square, triangle) in an image. You can leverage existing libraries like OpenCV for image processing and computer vision tasks. This question allows you to explore concepts like: Image loading and manipulation Color space conversion (e.g., converting to grayscale) Thresholding techniques for image segmentation Shape detection using properties like area, perimeter, and aspect ratio
Question: Create a Python program that detects and recognizes basic shapes (e.g., circle, square, triangle) in an image. You can leverage existing libraries like OpenCV for image processing and computer vision tasks. This question allows you to explore concepts like: Image loading and manipulation Color space conversion (e.g., converting to grayscale) Thresholding techniques for image segmentation Shape detection using properties like area, perimeter, and aspect ratio
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![Question:
Create a Python program that detects and recognizes basic shapes (e.g., circle,
square, triangle) in an image. You can leverage existing libraries like OpenCV for
image processing and computer vision tasks.
This question allows you to explore concepts like:
Image loading and manipulation
Color space conversion (e.g., converting to grayscale)
• Thresholding techniques for image segmentation
•
Shape detection using properties like area, perimeter, and aspect ratio](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd1f11dfe-680d-4c30-ba5e-431bd8c2858a%2F29d0c70f-04b7-41f9-ae8a-5f6efa2509b1%2Fsjmfal9vw_processed.png&w=3840&q=75)
Transcribed Image Text:Question:
Create a Python program that detects and recognizes basic shapes (e.g., circle,
square, triangle) in an image. You can leverage existing libraries like OpenCV for
image processing and computer vision tasks.
This question allows you to explore concepts like:
Image loading and manipulation
Color space conversion (e.g., converting to grayscale)
• Thresholding techniques for image segmentation
•
Shape detection using properties like area, perimeter, and aspect ratio
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