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{ "item_title" : "Practical Contour Compression Methods Using MATLAB", "item_author" : [" Ali Ukasha "], "item_description" : "This book is an essential guide to the implementation of image processing techniques, with tutorial introductions and sample code in MATLAB. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. Fully updated with the latest developments in contour extraction & compression, including expanded tutorials and new techniques, this book contains extensive new material on DCT, Haar & wavelets. The material is timely, highly readable, and illustrated with numerous examples of practical significance. Image and contour compression mainstream areas of image processing in the spatial and frequency domains, are covered. Coverage concludes with a discussion on the fundamentals of object recognition. Chapters supported by figures, examples, illustrative problems, and exercises.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/6/20/279/033/6202790334_b.jpg", "price_data" : { "retail_price" : "43.09", "online_price" : "43.09", "our_price" : "43.09", "club_price" : "43.09", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Practical Contour Compression Methods Using MATLAB|Ali Ukasha

Practical Contour Compression Methods Using MATLAB

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Overview

This book is an essential guide to the implementation of image processing techniques, with tutorial introductions and sample code in MATLAB. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. Fully updated with the latest developments in contour extraction & compression, including expanded tutorials and new techniques, this book contains extensive new material on DCT, Haar & wavelets. The material is timely, highly readable, and illustrated with numerous examples of practical significance. Image and contour compression mainstream areas of image processing in the spatial and frequency domains, are covered. Coverage concludes with a discussion on the fundamentals of object recognition. Chapters supported by figures, examples, illustrative problems, and exercises.

This item is Non-Returnable

Details

  • ISBN-13: 9786202790338
  • ISBN-10: 6202790334
  • Publisher: Noor Publishing
  • Publish Date: January 2021
  • Dimensions: 9 x 6 x 0.42 inches
  • Shipping Weight: 0.61 pounds
  • Page Count: 184

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