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Image Histogram - Unveiling Visual Insights Exploring the Depths of Image Histograms in Computer Vision - cover

Image Histogram - Unveiling Visual Insights Exploring the Depths of Image Histograms in Computer Vision

Fouad Sabry

Maison d'édition: One Billion Knowledgeable

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Synopsis

What is Image Histogram
 
An image histogram is a type of histogram that acts as a graphical representation of the tonal distribution in a digital image. It plots the number of pixels for each tonal value. By looking at the histogram for a specific image a viewer will be able to judge the entire tonal distribution at a glance.
 
How you will benefit
 
(I) Insights, and validations about the following topics:
 
Chapter 1: Image histogram
 
Chapter 2: Histogram
 
Chapter 3: Color histogram
 
Chapter 4: Thresholding (image processing)
 
Chapter 5: Histogram equalization
 
Chapter 6: Adaptive histogram equalization
 
Chapter 7: Histogram matching
 
Chapter 8: Tone mapping
 
Chapter 9: Error diffusion
 
Chapter 10: Graph cuts in computer vision
 
(II) Answering the public top questions about image histogram.
 
(III) Real world examples for the usage of image histogram in many fields.
 
Who this book is for
 
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Image Histogram.
Disponible depuis: 28/04/2024.
Longueur d'impression: 79 pages.

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