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Description
Description
Objective
Create a tool that applies various types and levels of noise to edge points for testing purposes.
Noise Types to Implement
1. Gaussian Noise
- Effect: Randomly shifts each edge point
- Control: User-configurable level/intensity
2. Salt and Pepper Noise
- Effect: Randomly deletes and adds edge points
- Control: User-configurable level/intensity
Requirements
- Easy control of noise levels via user inputs
- Support for both noise types independently or in combination
- Reproducible results (seed-based randomness)
Use Cases
- Testing edge detection algorithm robustness
- Validating algorithm performance under various noise conditions
- Generating test datasets with known noise characteristics
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