CONVERSION OF RGB TO GRAY SCALE MODEL IN DIGITAL IMAGE PROCESSING

Abstract

For a 2d function f(x, y), when x , y and the amplitude values of f are discrete quantities and finite then it is called to be an digital Image. RGB model image consists of 3 independent image panels i.e., Red, Green and Blue. Representing each color is by specifying the amount of each primary component used. This paper tells about conversion of RGB to gray scale model for different images based on the flower dataset. It tells about how each component of RGB is converted to gray scale. Two main reasons drive the use of colour in image processing: first, colour is a potent descriptor that frequently makes it easier to identify and extract objects from a scene. In contrast to the about two dozen hues of grey, the human eye can distinguish thousands of different colour colours and intensities. Each colour in the RGB model is represented by its red, green, and blue primary spectral components. Based on the Cartesian coordinate system, this model. Three separate images make up each image represented by the RGB colour model. These three images mix on the phosphor screen to create a composite colour image when fed into an RGB display, one for each primary. The term "pixel depth" refers to the quantity of bits utilised to represent each pixel in RGB space.