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What is RGB

Chapter 45
Handbook of Research on Systems Biology Applications in Medicine
Red, Green, Blue colour space. A representation of colour using the three primary colours, red, green and blue. All other colours are formed by different combinations of these three.
Published in Chapter:
Automated Image Analysis Approaches in Histopathology
Ross Foley (University College Dublin (UCD), Ireland)
Copyright: © 2009 |Pages: 24
DOI: 10.4018/978-1-60566-076-9.ch045
Abstract
The field of histopathology has encountered a key transition point with the progressive move towards use of digital slides and automated image analysis approaches. This chapter discusses the various methods and techniques involved in the automation of image analysis in histopathology. Important concepts and techniques are explained in the 5 main areas of workflow within image analysis in histopathology: data acquisition, the digital image, image pre-processing, segmentation, and machine learning. Furthermore, examples of the application of these concepts and techniques in histopathological research are then given.
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Chapter 12
Prospects of Deep Learning and Edge Intelligence in Agriculture: A Review
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Chapter 9
A Comparative Study of Unsupervised Video Shot Boundary Detection Techniques Using Probabilistic Fuzzy Entropy Measures
The acronym stands for Red, Green and Blue. RGB (red, green and blue) color model refers to a system for representing the colors to be used on a visual display unit. Red, Green and Blue can be combined in various proportions to obtain any color in the visible spectrum. The name of the model comes from the initials of the three additive primary colors, red, green, and blue.
Published in Chapter: A Comparative Study of Unsupervised Video Shot Boundary Detection Techniques Using Probabilistic Fuzzy Entropy Measures; From: Handbook of Research on Computational Intelligence for Engineering, Science, and Business
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