MATLAB, an abbreviation for ‘matrix laboratory,’ is a platform for solving mathematical and scientific problems. Biometric techniques including fingerprinting, face, iris and hand recognition are being used extensively in law enforcement and security.ĭigital cameras and camcorders, high-definition TVs, monitors, DVD players, personal video recorders and cell phones are popular consumer electronics items using image processing. Industrial applications include manufacturing systems such as safety systems, quality control and automated guided vehicle control.Ĭomplex image processing algorithms are used in applications ranging from detection of soldiers or vehicles, to missile guidance and object recognition and reconnaissance. In medicine, it is used for diagnostic imaging modalities such as digital radiography, positron emission tomography (PET), computerised axial tomography (CAT), magnetic resonance imaging (MRI) and functional magnetic resonance imaging (fMRI). Image processing finds use in numerous sectors, including medicine, industry, military, consumer electronics and so on. The need to extract information from images and interpret their content has been the driving factor in the development of image processing.
Different steps involved in image processing include importing the image with an optical scanner or from a digital camera, analysing and manipulating the image (data compression, image enhancement and filtering), and generating the desired output image. Moreover, it overlaps with other areas such as pattern recognition, machine learning, artificial intelligence and human vision research. Image processing is a multidisciplinary field, with contributions from different branches of science including mathematics, physics, optical and electrical engineering. Changes that take place in images are usually performed automatically and rely on carefully designed algorithms. Image processing is the technique to convert an image into digital format and perform operations on it to get an enhanced image or extract some useful information from it.
#BASIC IMAGE TOOLS MATLAB SERIES#
Part I in this series gives a brief introduction to digital images and MATLAB followed by basic image processing operations in MATLAB including image reading, display and storage back into the disk. The articles cover basic to advanced functions of MATLAB’s image processing toolbox (IPT) and their effects on different images. Let us try to do this with a blue screen….In this series of four articles, fundamentals, as well as advanced topics of image processing using MATLAB, are discussed.Or to replace pixels from a different image w use…> newv(mask) = w(mask).Which sets the mask so that we do not affect rows 700 and above.If you want to only mask a portion of the image you can use something like….Suppose we want to replace those values whose intensities exceed a threshold value of 160 in each color.Let us plot the color values of one chosen row…This will tell us the pixel values of the color we want to replace.And then we will find another image for pixel replacement. Find an image with a big plot of one color.
It is useful to use a “blue screen” in some instances. Sometimes we want to replace pixels of an image of one or more colors with pixels from another image.WORKING WITH IMAGES in MatLab RESIZING > img=imread(‘my.jpg') > = size(img) % Increase the number of rows > stretchfactor = 1.5 > rowVec= linspace(1,rows,stretchfactor*rows) > newrows=round(rowVec) % Decrease number of columns > stretchfactor = 0.75 > colVec= linspace(1,cols,stretchfactor*cols) > newcols=round(colVec) > newimag=img(newrows,:,:) > imshow(newimg) > newimag=newimg(:,newcols,:) >imshow(newimg) You only needed to crop them to the same size. WORKING WITH IMAGES in MatLab Basic Image functions: Reading: img1=imread('image1.jpg') Writing: imwrite(img1, 'image2.jpg') Displaying: imshow(img1) Recall that Last time we did an Exercise: Find 2 images online and add them together. CS100: Into to Computer Science Image Processing in MatLab MatLab is a powerful tool to manipulate graphics and images Prepared by Fred Annexstein University of Cincinnati Some Rights Reserved
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