Introduction of Digital image processing DIP

What is Digital image processing?

Digital image processing is an image may be defined as a two- dimensional function, f(x,y), where X and Y are spatial coordinates, and the amplitude of F at any Pair of coordinates (x,y) is called the intensity or gray level of the image at the point. When x,y and the amplitude value of f are all finite, discrete quantities, we call the image a digital image. The field of digital image processing refers to processing digital images by means of a digital computer. Note that the digital image is composed of a finite number of elements. These elements are referred to as picture of elements, image elements,pels, and pixels. Pixel is the term used mostly widely to denote the elements of a digital image.

Vision is the most advanced of our sense, however, unlike human,who are limited to the visual band of the electromagnetic (EM) spectrum, image machine cover almost the entire EM spectrum, ranging from gamma to radio waves. They can operate also on image generated by source that human do not customerily association with image. These include ultra sound,electron microscopy,and Computer- generated images.

On the other hand, there are field,such as Computer vision, whose ultimate goal is to use Computer to emulate human vision, including learning and being able to make interface and take action based on visual input. This area itself is a branch of artificial intelligence ( AI), whose objective is to emulate human intelligence.

Digital image Representation-

An image may be defined as a two dimensional function f(x,y) where X and y are spatial coordinates and amplitude of f at any Pair of coordinates is called the intensity of the image. The term gray level is used often bro refer to the intensity of monochrome image. Color image are formed by a combination of individual images. For example, RGB color System a colour image consists of three individual monochrome image, refer to as the red (R), green (G), and blue (B) primary ( or components) images. For this reason, many of techniques developed for monochrome image.

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