Biologically Rationalized Computing Techniques For Image Processing Applications
Springer International Publishing (Verlag)
978-3-319-61315-4 (ISBN)
Besides computing techniques, the book also sheds light on the various application areas related to image processing, and weighs the pros and cons of specific methodologies. Even though several such methodologies are available, most of them do not provide the simultaneous benefits of high accuracy and less complexity, which explains their low usage in connection with practical imaging applications, such as the medical scenario. Lastly, the book illustrates the methodologies in detail, making it suitable for newcomers to the field and advanced researchers alike.
D. Jude Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. His research areas include Computational Intelligence and Image processing. He has authored more than 100 research papers in well-respected international journals such as Neurocomputing, Neural Computing and Applications, Neural Network World, etc. as well as book chapters published by well known publishers. He is very active in his field, holding membership of professional organisations and serving on committees and boards. Currently, he is working as Associate Professor in the Department of ECE, Karunya University, Coimbatore, India.
Artifical Bee Colony Algorithm for Classification of Semi-Urban LU/LC Features Using High Resolution Satellite Data.- Saliency Based Image Compression Using Walsh-Hadamard Transform (WHT).- Object trajectory prediction with scarce environment information.- A Two-fold Subspace Learning Based Feature Fusion Strategy for Classification of EMG and EMG spectrogram Images.- Automatic Detection of Brain Strokes in CT Images using Soft Computing Techniques.- A survey on Intelligence based biometric techniques for authentication applications.- Spatial and Spectral Quality Assessment of Fused Hyperspectral and Multispectral Data.- Deep Learning Techniques for Breast Cancer Detection using Medical Images Analysis.- A Tour towards the development of various Techniques for Paralysis Detection using Image Processing.- Chlorella - Algae Image Analysis using Artificial Neural Network and Deep Learning.- Review on Image Enhancement Techniques using Biologically Inspired Artificial Bee ColonyAlgorithms and its variants.- Certain Applications and Case Studies of Evolutionary Computing Techniques for Image Processing.- Histopathological Image Analysis for the Grade Identification of Tumor.- Super Resolution via Particle Swarm Optimization Variants.
| Erscheinungsdatum | 20.09.2017 |
|---|---|
| Reihe/Serie | Lecture Notes in Computational Vision and Biomechanics |
| Zusatzinfo | VI, 337 p. 210 illus., 147 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 698 g |
| Themenwelt | Technik ► Elektrotechnik / Energietechnik |
| Schlagworte | Artificial Intelligence • artificial intelligence (incl. robotics) • bio-inspired algorithms • biomedical engineering • Computational Intelligence • computer vision • Engineering • Engineering: general • Image Processing • Imaging Systems & Technology • Imaging Systems & Technology • Robotics • Signal, Image and Speech Processing • Signal Processing • Soft Computing |
| ISBN-10 | 3-319-61315-4 / 3319613154 |
| ISBN-13 | 978-3-319-61315-4 / 9783319613154 |
| Zustand | Neuware |
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