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How to combine two images using mit app inventor

ImageProcessor can do a weighted combine of two images, return the greyscale of an image. Download this Image processing 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. Changes that take place in images are usually performed automatically and rely on carefully designed algorithms. Image processing is a multidisciplinary field, with contributions from different branches of science including mathematics, physics, optical and electrical engineering. Moreover, it overlaps with other areas such as pattern recognition, machine learning, artificial intelligence and human vision research. 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. The need to extract information from images and interpret their content has been the driving factor in the development of image processing. Image processing finds use in numerous sectors, including medicine, industry, military, consumer electronics and so on. 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). Industrial applications include manufacturing systems such as safety systems, quality control and automated guided vehicle control. Complex image processing algorithms are used in applications ranging from detection of soldiers or vehicles, to missile guidance and object recognition and reconnaissance. Biometric techniques including fingerprinting, face, iris and hand recognition are being used extensively in law enforcement and security. Digital cameras and camcorders, high-definition TVs, monitors, DVD players, personal video recorders and cell phones are popular consumer electronics items using image processing. mit app inventor games mit app inventor ios mit app inventor emulator mit app inventor sample projects code mit app inventor aia mit app inventor how to test mit app inventor advantages of mit app inventor ios inventor mit app inventor cost android block coding hal abelson windows app studio convert java to app inventor course in a box starter apps app inventor aia to android studio mit ai2 companion ios app inventor download apk mit ai2 companion for windows mit ai2 login mit app inventor download ubuntu mit app inventor 2 projects mit app inventor coursera coursera android development app development courses online what is android app development coursera app mobile web development training disadvantages of mit app inventor mit app inventor projects pdf mit app inventor source code mit app inventor sample projects why was mit app inventor created component mit app inventor advantages of mit app inventor ios inventor mit app inventor cost android block coding hal abelson windows app studio convert java to app inventor course in a box starter apps app inventor aia to android studio mit ai2 companion ios app inventor download apk mit ai2 companion for windows mit ai2 login mit app inventor download ubuntu mit app inventor 2 projects mit app inventor coursera coursera android development app development courses online what is android app development coursera app mobile web development training disadvantages of mit app inventor mit app inventor projects pdf mit app inventor source code mit app inventor sample projects why was mit app inventor created component mit app inventor learn mit app inventor mit app inventor login screen getting started with mit app inventor air hockey mit app inventor mit app inventor system requirements
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