{ "item_title" : "High-Order Models in Semantic Image Segmentation", "item_author" : [" Ismail Ben Ayed "], "item_description" : "High-Order Models in Semantic Image Segmentation reviews recent developments in optimization-based methods for image segmentation, presenting several geometric and mathematical models that underlie a broad class of recent segmentation techniques. Focusing on impactful algorithms in the computer vision community in the last 10 years, the book includes sections on graph-theoretic and continuous relaxation techniques, which can compute globally optimal solutions for many problems. The book provides a practical and accessible introduction to these state-of -the-art segmentation techniques that is ideal for academics, industry researchers, and graduate students in computer vision, machine learning and medical imaging.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/12/805/320/0128053208_b.jpg", "price_data" : { "retail_price" : "110.00", "online_price" : "110.00", "our_price" : "110.00", "club_price" : "110.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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