Tile Extractor

📰 Dev.to · somyabhalani

Learn to build a layout-aware computer vision pipeline for extracting tiles from stone images using Python and OpenCV

intermediate Published 23 May 2026
Action Steps
  1. Install OpenCV and Python libraries using pip
  2. Load and preprocess stone images using OpenCV
  3. Apply edge detection and thresholding to segment tiles
  4. Use contour detection to identify and extract individual tiles
  5. Configure and fine-tune the pipeline for optimal results
Who Needs to Know This

Computer vision engineers and data scientists can benefit from this pipeline to automate the process of extracting tiles from large stone images

Key Insight

💡 Using a combination of edge detection, thresholding, and contour detection can effectively extract tiles from complex stone images

Share This
Build a layout-aware CV pipeline to extract tiles from stone images #computervision #opencv

Key Takeaways

Learn to build a layout-aware computer vision pipeline for extracting tiles from stone images using Python and OpenCV

Full Article

Parsing the Unparsable: Building a Layout-Aware Computer Vision Pipeline for 50,000+ Stone...
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