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.
CONVERT IMAGE FORMAT 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. In this series of four articles, fundamentals, as well as advanced topics of image processing using MATLAB, are discussed.
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