Description: Biologically Rationalized Computing Techniques For Image Processing Applications (Lecture Notes in Computational Vision and Biomechanics, 25) Product Overview This book introduces readers to innovative bio-inspired computing techniques for image processing applications. It demonstrates how a significant drawback of image processing – not providing the simultaneous benefits of high accuracy and less complexity – can be overcome, proposing bio-inspired methodologies to help do so. Besides computing techniques, the book also sheds light on the various application areas related to image processing, and weighs the pros and cons of specific methodologies. Even though several such methodologies are available, most of them do not provide the simultaneous benefits of high accuracy and less complexity, which explains their low usage in connection with practical imaging applications, such as the medical scenario. Lastly, the book illustrates the methodologies in detail, making it suitable for newcomers to the field and advanced researchers alike. Read more Details Publisher : Springer; 1st ed. 2018 edition (August 18, 2017) Language : English Hardcover : 343 pages ISBN-10 : 3319613154 ISBN-13 : 54 Item Weight : 1.58 pounds Dimensions : 6.57 x 0.84 x 9.59 inches Best Sellers Rank: #7,270,198 in Books (See Top 100 in Books) #510 in Computer Hardware DSPs #1,324 in Signal Processing #1,837 in Biomedical Engineering #510 in Computer Hardware DSPs #1,324 in Signal Processing We have been selling used books since 2012, and we've learned that the most important thing is doing good business. Honesty is our policy. Free Shipping We ship worldwide. We have multiple warehouses around the world, so please note the extended handling time on certain listings.
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ISBN: 3319613154
ISBN10: 3319613154
ISBN13: 9783319613154
EAN: 9783319613154
MPN: does not apply
Brand: Springer
GTIN: 09783319613154
Number of Pages: VI, 337 Pages
Language: English
Publication Name: Biologically Rationalized Computing Techniques for Image Processing Applications
Publisher: Springer International Publishing A&G
Publication Year: 2017
Subject: Engineering (General), Signals & Signal Processing, Intelligence (Ai) & Semantics, Image Processing
Type: Textbook
Item Weight: 247.3 Oz
Author: Valentina Emilia Balas
Subject Area: Computers, Technology & Engineering
Item Length: 9.3 in
Item Width: 6.1 in
Series: Lecture Notes in Computational Vision and Biomechanics Ser.
Format: Hardcover