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Digital Image Processing using MATLAB: ZERO to HERO Practical Approach with Source Code (Handbook of Digital Image Processing using MATLAB)
物品 #: 20201092

Digital Image Processing using MATLAB: ZERO to HERO Practical Approach with Source Code (Handbook of Digital Image Processing using MATLAB)

物品 #: 20201092

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Learn Digital Image Processing using MATLAB and master the practical approach from a comprehensive handbook with source code. Paperback available. Shop at Ubuy 香港
  • This book will help you learn all about digital image processing Importance, and necessity of image processing stems from application areas the first being the Improvement of data for individual interpretation and the second being that the Processing of a spectacle data for an machine perception. Digital image processing includes a assortment of applications such as remote sensing, image and information storage for transmission in acoustic imaging, medical imaging, business applications , Forensic sciences and industrial automation. Images are helpful in tracking of earth resources mapping, and forecast of urban populations, agricultural crops, climate forecasting, flooding and fire control. Space imaging applications include comprehension and analyzation of objects contained in images obtained from deep space-probe missions. There are also medical programs such as processing of X-Rays, Ultrasonic scanning, Electron micrographs, Magnetic Resonance Imaging, Nuclear Magnetic Resonance Imaging, etc.. In addition to the aforementioned applications, digital image processing is being used to solve a variety of issues. Even unrelated, these problems commonly require methods effective at improving information. The Image processing Procedures like restoration and Image enhancement are used to procedure images that were degraded or blurred. Powerful uses of image processing concepts are observed in defense astronomy, biology, medical and industrial applications. As per Medical Imaging is concerned almost all of the pictures could be utilized in the discovery of tumors or for viewing the patients. The current key field of use of digital image processing (DIP) methods is in solving the issue of machine vision so as to attain superior results. CONTENTS OF THIS BOOK: Chapter 1: Basic Morphological Operation with MATLAB Source CodeChapter 2: Image Segmentation with MATLAB Source CodeChapter 3: Image intensity transformation with MATLAB Source Code Chapter 4: Histogram Equalization with MATLAB Source CodeChapter 5: Spatial Intensity Resolution with MATLAB Source CodeChapter 6: Image Enhancement in Frequency Filtering with MATLAB Source Code Chapter 7: Image Enhancement in Spatial Filtering with MATLAB Source CodeChapter 8: Color Image Processing with MATLAB Source Code Chapter 9: DFT Analysis with MATLAB Source CodeChapter 10: Basic Thresholding Function with MATLAB Source CodeChapter 11: Image Sampling and Quantization with MATLAB Source CodeChapter 12: Various Image Transformation with MATLAB Source Code
Publisher Independently published
Publication date December 17, 2017
Language English
Print length 230 pages
ISBN-10 1973565153
ISBN-13 978-1973565154
Item Weight 14.4 ounces (408.24 grams)
Dimensions 6 x 0.58 x 9 inches (15.2 x 1.5 x 22.9 cm)

產品敘述

Digital Image Processing using MATLAB: ZERO to HERO Practical Approach with Source Code (Handbook of Digital Image Processing using MATLAB)

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Computers & Technology Editorial Review

Digital Image Processing using MATLAB: ZERO to HERO Practical Approach with Source Code is a handbook that aims to provide a practical introduction to digital image processing through MATLAB. The book, published independently in December 2017, spans 230 pages and serves as a reference guide, particularly for those interested in photographic analysis and color gradients. While some reviews praise its step-by-step approach, others criticize it for being simplistic, lacking depth, and having numerous errors. However, students may find it effectively outlines built-in MATLAB functions, making it a handy resource for beginners and those looking to refresh their skills.

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優點

  • Step-by-step explanations for digital image processing
  • Good reference for color gradients
  • Effective outline for built-in MATLAB functions
  • Great for a quick overview of topics
  • Helps re-acquaint with MATLAB after a break

缺點

  • Lacks depth and thorough explanations in some areas

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