menu
{ "item_title" : "Image Processing with MATLAB", "item_author" : [" Omer Demirkaya", "Musa H. Asyali", "Prasanna K. Sahoo "], "item_description" : "This text explains complex, theory-laden topics in image processing through examples and MATLAB(R) algorithms. It provides these algorithms to help scientists and researchers quickly identify the most effective solution method for a particular problem at hand. The authors emphasize three-dimensional processing and analysis as well as statistical and stochastic modeling. They cover the new areas of nonlinear diffusion filtering and PDE-based image filtering, address relatively advanced topics, such as Markov random field-based image segmentation, and highlight applications with images from medicine and biology. They also include real-world examples and exercises in every chapter.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/84/939/246/0849392462_b.jpg", "price_data" : { "retail_price" : "200.00", "online_price" : "200.00", "our_price" : "200.00", "club_price" : "200.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Image Processing with MATLAB|Omer Demirkaya

Image Processing with MATLAB : Applications in Medicine and Biology

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This text explains complex, theory-laden topics in image processing through examples and MATLAB(R) algorithms. It provides these algorithms to help scientists and researchers quickly identify the most effective solution method for a particular problem at hand. The authors emphasize three-dimensional processing and analysis as well as statistical and stochastic modeling. They cover the new areas of nonlinear diffusion filtering and PDE-based image filtering, address relatively advanced topics, such as Markov random field-based image segmentation, and highlight applications with images from medicine and biology. They also include real-world examples and exercises in every chapter.

This item is Non-Returnable

Details

  • ISBN-13: 9780849392467
  • ISBN-10: 0849392462
  • Publisher: CRC Press
  • Publish Date: December 2008
  • Dimensions: 9.1 x 6.1 x 1 inches
  • Shipping Weight: 2.2 pounds
  • Page Count: 458

Related Categories

You May Also Like...

    1

BAM Customer Reviews