Title
Extraction of ROI in Geographical Map: An Effective Media of Image Segmentation,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
Region of Interest (ROI) extraction from geographical map image is an important task of document analysis and recognition. The extracted segments are applied to different machine vision and embedded system. The task is very complex because of having overlapping objects, more types of data, possible curvature, even branching of graphics, intersected lines etc in map. Keeping this in mind, this book describes two methods that have been applied to extract efficient ROI for both road network and waterway from geographical map; one is color based segmentation applying Kmeans clustering and other is template based matching which overcome the previous limitations. Different from the existent methods, these proposed approaches are efficient both in segmentation results and further reconstruction also. And the experimental results are close to human perceptions; therefore these methods provide better and more robust performance than either of the individual methods.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.