Examples of applications involving image analysis can be the study of motion of structures from image sequences, shape reconstruction from images, and medical diagnosis. On the other hand, Image Analysis (Computational Vision) is used for the extraction of high level information from static images or dynamic image sequences.
Additionally, enhanced hardware solutions and less invasive devices are demanded. However, for its successful achievement, numerous research topics should be considered, such as image processing and analysis, geometric and numerical modelling, biomechanics, experimental analysis, mechanobiology and enhanced visualization, and their application to real cases must be developed and more investigation is needed. The research related to the analysis of living structures (Biomechanics) has been a source of recent research in several distinct areas of science, for example, Mathematics, Mechanical Engineering, Physics, Informatics, Medicine and Sport. Hughes, Austin, USA Yongjie Zhang, Pittsburgh, USA Prendergast, Dublin, Ireland Rainald Löhner, Fairfax, USA Roger Kamm, Cambridge, USA Shuo Li, London, Canada Thomas J.R. Tamma, Minneapolis, USA Laurent Cohen, Paris, France Manuel Doblaré, Zaragoza, Spain Patrick J. García Aznar, Zaragoza, Spain Perumal Nithiarasu, Swansea, UK Kumar K.
Weiss, Salt Lake City, USA John Middleton, Cardiff, UK Jose M. Paulo Vilas-Boas, Porto, Portugal Jeffrey A. Holzapfel, Graz University of Technology, Graz, Austria J. Tavares, Porto, Portugal Renato Natal Jorge, Porto, Portugal Editorial Advisory Board Alejandro Frangi, Sheffield, UK Chandrajit Bajaj, Austin, USA Eugenio Oñate, Barcelona, Spain Francisco Perales, Palma de Mallorca, Spain Gerhard A. Lecture Notes in Computational Vision and Biomechanics Volume 25 Jude Hemanth Valentina Emilia Balas Editorsīiologically Rationalized Computing Techniques For Image Processing Applications Lecture Notes in Computational Vision and Biomechanics 25 Estrela, Osamu Saotome, Dalmo Stutz).Pages 317-337 Citation preview Super-Resolution via Particle Swarm Optimization Variants (Maria Aparecida de Jesus, Vania V.
Histopathological Image Analysis for the Grade Identification of Tumor (M. Choubey).Pages 249-271Ĭertain Applications and Case Studies of Evolutionary Computing Techniques for Image Processing (A. Review on Image Enhancement Techniques Using Biologically Inspired Artificial Bee Colony Algorithms and Its Variants (Rehan Ahmad, Nitin S. Aarthy Poornila).Pages 159-186Ī Tour Toward the Development of Various Techniques for Paralysis Detection Using Image Processing (Banita Banita, Poonam Tanwar).Pages 187-214Ĭhlorella Algae Image Analysis Using Artificial Neural Network and Deep Learning (S. Spatial and Spectral Quality Assessment of Fused Hyperspectral and Multispectral Data (Somdatta Chakravortty, Anil Bhondekar).Pages 133-158ĭeep Learning Techniques for Breast Cancer Detection Using Medical Image Analysis (D. Sujith Christopher, Gowru Vamsidhar Reddy, Robert Bestak, Lim Chot Hun).Pages 111-132 Survey on the Classification of Intelligence-Based Biometric Techniques (K. Object Trajectory Prediction with Scarce Environment Information (Jin Sung Park, Daniela López De Luise, Jude Hemanth).Pages 43-55Ī Twofold Subspace Learning-Based Feature Fusion Strategy for Classification of EMG and EMG Spectrogram Images (Anil Hazarika, Manbendra Bhuyan).Pages 57-84Īutomatic Detection of Brain Strokes in CT Images Using Soft Computing Techniques (B. Saliency-Based Image Compression Using Walsh–Hadamard Transform (WHT) (A. Artificial Bee Colony Algorithm for Classification of Semi-urban LU/LC Features Using High-Resolution Satellite Data (J.
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