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دانلود کتاب پردازش تصاویر دیجیتال Digital Image Processing Using MATLAB

کتاب پردازش تصاویر دیجیتالی با استفاده از نرم افزار متلب (Digital Image Processing Using MATLAB)  نوشته Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins را برای شما آماده کرده ایم. در این کتاب شما با روشهای محاسباتی ریاضی پردازش تصاویر با مثال های فراوان آشنا می شوید. این کتاب خودآموز بوده و شما را در یادگیری مباحث پردازش تصاویر کمک خواهد کرد، از جمله مباحث پرداخته شده در این کتاب در رابطه با تصویر دیجیتال، بهبود تصویر در دامنه فضایی، بهبود تصویر در فضای تکراری، مرمت تصویر، پردازش تصویر رنگی اشاره نمود. در زیر خلاصه کتاب به زبان انگلیسی عنوان شده است.


Digital Image Processing Using MATLAB


Digital Image Processing Using MATLAB is the first book to offer a balanced treatment of image processing fundamentals and the software principles used in their implementation. The book integrates material from the leading text, Digital Image Processing by Gonzalez and Woods, and the Image Processing Toolbox from The MathWorks, Inc., a leader in scientific computing. The Image Processing Toolbox provides a stable, well-supported software environment for addressing a broad range of applications in digital image processing. A unique feature of the book is its emphasis on showing how to enhance those tools by developing new code. This is important in image processing, an area that normally requires extensive experimental work in order to arrive at acceptable application solutions. Some Highlights: (1) This new edition is an extensive upgrade of the book. (2) Over 120 new MATLAB image processing functions are developed, a 40 % increase over existing functions in the Image Processing Toolbox. (3) Algorithms and MATLAB functions in the mainstream of digital image processing are discussed and implemented, including: Intensity transformations; spatial filtering; fuzzy image processing; filtering in the frequency domain; image restoration and reconstruction; geometric transformations and image registration; color image processing; wavelets; image and video compression; morphology; image segmentation; image representation and description; and object recognition. (4) In addition to a major revision of the topics from the first edition, features in this edition include new coverage of: The Radon transform; image processing functions based on function-generating functions (function factories); geometric transformations; image registration; color profiles and device-independent color conversions; functions for video compression; adaptive thresholding algorithms; new image features, including minimum-perimeter polygons and local (corner) features.
اطلاعات کتاب :
Size: 46.00 MB

معرفی کتابی دیگر در رابطه با پردازش تصاویر دیجیتال با استفاده از متلب

Digital signal and image processing using MATLAB®. Volume 3, Advances and applications : the Stochastic case

by Blanchet, Gerard, Charbit, Maurice

Persian Title: پردازش سیگنال ها و تصاویر دیجیتال با استفاده از نرم افزار متلب، سطح 3 : موارد تصادفی
Publisher: Wiley-ISTE
Year: 2015
Edition: 2
Language: English
Pages (Hardcover-EBook): 340
ISBN: 978-1-84821-795-9, 9781119054009, 1119054001, 9781119054092, 1119054095, 1848217951
File Type: PDF

Size: 25.20 MB
Digital signal and image processing using MATLAB®. Volume 3, Advances and applications : the Stochastic case

Summary and Info

Volume 3 of the second edition of the fully revised and updated Digital Signal and Image Processing using MATLAB®, after first two volumes on the “Fundamentals” and “Advances and Applications: The Deterministic Case”, focuses on the stochastic case. It will be of particular benefit to readers who already possess a good knowledge of MATLAB®, a command of the fundamental elements of digital signal processing and who are familiar with both the fundamentals of continuous-spectrum spectral analysis and who have a certain mathematical knowledge concerning Hilbert spaces. This volume is focused on applications, but it also provides a good presentation of the principles. A number of elements closer in nature to statistics than to signal processing itself are widely discussed. This choice comes from a current tendency of signal processing to use techniques from this field. More than 200 programs and functions are provided in the MATLAB® language, with useful comments and guidance, to enable numerical experiments to be carried
out, thus allowing readers to develop a deeper understanding of both the theoretical and practical aspects of this subject.

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