Digital Image Process Real Time Applications

This book involves Digital Image Processing: The Basics think of an image as a grid of tiny squares, each representing a pixel. Each pixel contains information about the color and brightness of that part of the image. Digital Image Processing involves using algorithms — sets of instructions for the computer — to process.
         
A digital image consists of a large number of small spots of color. These spots are called pixels, a contraction of “picture elements.” When displayed on a monitor or printed on paper, pixels are so small and so closely packed together that the collective effect on the human eye is a continuous pattern of colors.
               
In this book we explained the process of digital imaging in real time Applications with examples.

Simply defined, digital imaging is the representation of images as a set of numbers. In practice, it encompasses the electronic capture of images, their conversion to numeric data, the storage and retrieval of those data, and the manipulation, view and printing of the images

Digitization refers to the process of converting analogue material into a digital format, typically for storage and use in a computer. This process involves transforming physical resources, such as documents, into electronic form in Real time Applications.
         
In this book involves the real time object detection system for smart traffic management system explained in chapter 7.The face detection system using hybrid deep learning model in chapter 6.The facial expression recognition appearance model in chapter 5.
      
This book very useful for UG and PG Level students also the Research scholars.