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Colour Mathematical Morphology For Neural Image Analysis



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Real Time Imaging 8 455 465 2002 doi 10 1006 rtim 2002 0288 available online at http www idealibrary com on Colour Mathematical Morphology For Neural Image Analysis T his paper presents an algorithm for automatic neural image analysis in immunostained vertebrate retinas We present a useful tool for cell quanti cation avoiding the losst of information of traditional binary techniques in automatic recognition of images The application is based on the extension of the mathematical morphology to colour images In qthe paper we de ne the basics and more complex morphological operations to vectorial image processing We propose and demonstrate a colour image reconstruction by geodesic transformations In addition we adapt the morphological segmentation of greyscale image to the segmentation of multispectral images of retinas of monkeys 2002 Elsevier Science Ltd All rights reserved F Ortiz1 F Torres1 E De Juan2 and N Cuenca3 1 Department of Physics Systems Engineering and Signal Theory University of Alicante P O Box 99 03080 Alicante Spain E mail fortiz disc ua es 2 Department of Physiology Genetics and Microbiology University of Alicante P O Box 99 03080 Alicante Spain E mail fortiz disc ua es 3 Department of Biotechnology University of Alicante P O Box 99 03080 Alicante Spain Introduction For years analysis of biomedical images has been increasingly important in medical research and diagnosis generation The use of image processing tools is very essential when images to analyse are very numerous or these do not have good quality The medical researcher only interprets the results and o ers his nal diagnosis with the automatically processed image In this paper we present a new algorithm for segmentation and classi cation of neural images of monkeys Number and diameter quanti cation of cells is important in cell biology but it is a hard and tedious work The commercial and available software for automatic image analysis is very useful in this sense 1077 2014 02 35 00 but all the



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