Enhancing Images: Adaptive Shadow Correction Using OpenCV
📰 OpenCV Blog
Use OpenCV for adaptive shadow correction in images with Multi-Scale Retinex and color space masking
Action Steps
- Implement Multi-Scale Retinex for illumination normalization
- Apply adaptive shadow masking in LAB color space
- Apply adaptive shadow masking in HSV color space
- Combine the results for effective shadow removal and color preservation
Who Needs to Know This
Computer vision engineers and software engineers working on image processing tasks can benefit from this technique to enhance image quality
Key Insight
💡 Combining Multi-Scale Retinex with adaptive shadow masking in LAB and HSV color spaces effectively removes shadows while preserving natural colors and textures
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💡 Enhance images with adaptive shadow correction using OpenCV
Key Takeaways
Use OpenCV for adaptive shadow correction in images with Multi-Scale Retinex and color space masking
Full Article
In this blog post, we'll tackle this challenge head-on with a practical approach to shadow correction using OpenCV. Our method leverages Multi-Scale Retinex (MSR) for illumination normalization, combined with adaptive shadow masking in LAB and HSV color spaces. This technique not only removes shadows effectively but also preserves natural colors and textures. The post Enhancing Images: Adaptive Shadow Correction Using OpenCV appeared first on OpenCV .
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