INSIGHT TO MATLAB IMAGE PROCESSING TOOLBOX ABOUZARESLAMI AND EMADODINFATEMIZADEH … with their brief comment quoted from Matlab. 1. Matlab DIP Toolbox Matlabdigital image processing … Abstract. This note prepares initial information for starting with Matlab DIP toolbox. the note contains an abridged list of instructions with their brief comment quoted from Matlab. 1. Matlab DIP Toolbox Matlabdigital image processing toolbox is able to perform a large various image processing tasks. there are two important I/Oinstructions ( …

1. Matlab DIP Toolbox Matlabdigital image processing toolbox is able to perform a large various image processing tasks. there are two important I/Oinstructions (imreadandimwrite)to load and save images with various extensions. Usual data type of images is 8 bit unsigned integer which is not conventional formatlab. major part of functions deal with double type variables. consequently, it is recommended to convert image matrix to double data type using double instruction. generally speaking, uint8 variables in image processing are held in[0255]and double variables in[01]. instruction sasim show and apply c form strictly obey such dynamic range constraints. three types of images are defined in matlab: color, gray and indexed. for each pixel of a color image, 3 bytes are dedicated to color components. it is possible to transform well known color spaces with make c form and apply c form. initial processes perform on gray scale images in which each pixel has an 8 bit intensity. mention that the image matrix size is not appropriate to investigate whether image is gray or color. fora 3-Dmatrixwith identical RGB color components, there is no color. abandoned instruction ofisgray (develop your own image type check) in addition to rgb2gray can be employed for gray scale processes. an special case of gray images is black and white images with just two intensity levels. the last image type is indexed image in which each pixel has an index refereing to an specific color in associated color map. color space transforms are also applicable to color maps while color maps also obey double and uint8 dynamic ranges. except for extracting color image from gray or BW images (which has its own ambiguity), there are functions to convert other images. many of well known signal processing functions are extended for 2-D processing asfft2, corr2, conv2, filter2. although there are alternatives, especially designed for image processing as im filter, imaddandetc., but it is recommended to convert image to double and exploit all matlab functions since the number of predefined image functions is restricted…..

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