مقدمة لمعالجة الصور الرقمية باستخدام الماتلاب 5 بنية الصورة 1 скачать в хорошем качестве

مقدمة لمعالجة الصور الرقمية باستخدام الماتلاب 5 بنية الصورة 1

Images Structure Images Binary Image : image contains of matrices of pixels each pixel contain (0 or 1) statue . Intensity Image (gray scale image) : image contains of matrices of pixels each pixel contain values between (0 and 255) black and white respectively . True color image :image contains of matrices of pixels each pixel contain of three layers each layer contain values between (0 and 255) layers called RGB. Binary Images Intensity Image True Color Image First steps to processing image – read image Image usually stored as compressed format so to use images as matrices we must convert it from compressed format to matrix format using imread() function. imread() function opens image to matrix of uint8 format (unsigned integer 8 -bit ) some when we need to process it mathematically or using function with double parameters we use the function double() . First steps to processing image -basics Converting true color image to gray scale image : For each pixel the pixel value in gray scale equal to average of RGB layer of true color image . Matlab code : How powerful is Matlab Instead of this code you can use rgb2gray() function for the same purpose . Converting between double and uint8 is so easy . Getting image dimensions using size(). . GUI to display images easily using imshow(). First steps to processing image -basics Converting image format : You can convert image format using reading and writing functions in matlab After displaying image If we need to find pixel value we can use pixval on . We can access pixel value for R,G ,and B color using indexing of matrix Example: if we need (100,100) pixel rgb values as 3D vector we can use img(100,100,1:3). For the same purpose we can use impixel(img,100,100) .