Recent Trends in Signal and Image Processing

The book is aimed to report the recent trends in signal and image processing given the fact that almost every modern tools and gadgets resort to signal processing in one way or the other in this advanced era of human civilization.

Author: Siddhartha Bhattacharyya

Publisher: Springer

ISBN: 9811367833

Category: Technology & Engineering

Page: 135

View: 565

This book presents fascinating, state-of-the-art research findings in the field of signal and image processing. It includes conference papers covering a wide range of signal processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition, reconstruction and fractal analysis. It addresses various types of signals, such as image, video, speech, non-speech audio, handwritten text, geometric diagram, ECG and EMG signals; MRI, PET and CT scan images; THz signals; solar wind speed signals (SWS); and photoplethysmogram (PPG) signals, and demonstrates how new paradigms of intelligent computing, like quantum computing, can be applied to process and analyze signals precisely and effectively. The book also discusses applications of hybrid methods, algorithms and image filters, which are proving to be better than the individual techniques or algorithms.

Recent Trends in Image Processing and Pattern Recognition

Recent Trends in Signal and Image Processing. AISC, vol. 922, pp. 113–123. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-6783-0_11 11. Ramteke, R.J., Alsubari, A.: Extraction of palmprint texture features using combined ...

Author: K. C. Santosh

Publisher: Springer Nature

ISBN: 9811604932

Category: Computers

Page: 375

View: 972

This two-volume set constitutes the refereed proceedings of the Third International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2020, held in Aurangabad, India, in January 2020. The 78 revised full papers presented were carefully reviewed and selected from 329 submissions. The papers are organized in topical sections in the two volumes. Part I: Computer vision and applications; Data science and machine learning; Document understanding and Recognition. Part II: Healthcare informatics and medical imaging; Image analysis and recognition; Signal processing and pattern recognition; Image and signal processing in Agriculture.

Recent Trends in Multimedia Information Processing

Preface The papers included in this volume have been presented in the 9" International Workshop on Systems, Signals and Image Processing (TWSSIP) with the theme of Recent Trends in Multimedia Information Processing, which was held at ...

Author: Panos Liatsis

Publisher: World Scientific

ISBN: 9812382437

Category: Computers

Page: 574

View: 401

Emphasizes the convergence of information processing algorithms and associated technologies.

Recent Trends in Multimedia Information Processing

Preface The papers included in this volume have been presented in the 9" International Workshop on Systems, Signals and Image Processing (TWSSIP) with the theme of Recent Trends in Multimedia Information Processing, which was held at ...

Author: Panos Liatsis

Publisher: World Scientific

ISBN: 9814486922

Category: Computers

Page: 592

View: 366

This book reports on the state of the art in multimedia information processing. The emphasis is on the convergence of information processing algorithms and associated technologies. The areas of interest include video/image coding, color vision, 3D reconstruction, field programmable devices, and many others. Contents:Selected Topics in Medical Image Processing (J Cornelis et al.)A Restoration Method for Delay Proportional Differentiated Services (J Tsiligaridis & R Acharya)Massive Marching: A Parallel Computation of Distance Function (E Dejno(ková et al.)A Novel Intrusive Voice Transmission Quality Test System for Mobile Networks (J Holub et al.)FPAD Versus FPGA for Future Mobile Communications (S A Colsell & R Edwards)Nonuniform Sampling of Chrominance and Its Application to Intra-Frame Coding (M Doma(ski et al.)Analytical Design of 2-D FIR Filters for Image Compression (P Zahradnik & M Vlcek)HMM-based Dance Gesture Recognition (F Cheneviere et al.)A Progressive Wavelet Oriented Watershed Technique for Image Segmentation (D K Bechtsis et al.)Spiking Neuron Auditory Model for Speech Processing Systems (A V Ivanov et al.)Focal Region-Based Volume Rendering (J Zhou & K D Toennies)On the Choice of Transform for Low Frequency Image Watermaking (D Taskovski et al.)Online Classification of EEG Signals Using Artificial Neural Networks for Biofeedback Training of Patients with Epilepsy (M Schroder et al.)Data Mining and Telecommunication Fraud Detection Using Artificial Neural Networks (A J Hussain & E Chew)Large Scale Features in Prokaryote and Eukaryote Genomics Signals (P D Cristea)A Basis of Invariant Moments for Color Images (R Bidoggia & S Gentili)Fast Segmentation of Color Images Using the Fuzzy K-Means Algorithm and Different Sampling Approaches (A G Yiannoulis et al.)and other papers Readership: Graduate students, academics and industrialists in image/video coding, multimedia, neural nets and image analysis. Keywords:Image Processing and Analysis;Video Coding;Neural Networks;Bioinformatics;Field Programmable Devices;Fuzzy Logic;Multimedia

Recent Trends in Image and Signal Processing in Computer Vision

X. Zhang, Reversible data hiding in encrypted image. IEEE Signal Process. Lett. 18(4), 255 4. A. Mitra, Y.S. Rao, S.R. Prasanna, A new image encryption approach using combinational permutation techniques. Int. J Comput. Sci.

Author: Shruti Jain

Publisher: Springer Nature

ISBN: 9811527407

Category: Technology & Engineering

Page: 284

View: 639

This book highlights recent advances and emerging technologies that utilize computational intelligence in signal processing, computing, imaging science, artificial intelligence, and their applications. It covers all branches of artificial intelligence and machine learning that are based on computation at some level, e.g. artificial neural networks, evolutionary algorithms, fuzzy systems, and automatic medical identification systems. Exploring recent trends in research and applications, the book offers a valuable resource for professors, researchers, and engineers alike.

Proceedings of the 2nd International Conference on Recent Trends in Machine Learning IoT Smart Cities and Applications

Ansari UB, Sarode T (2017) Skin cancer detection using image processing. ... Automatic detection and analysis of melanoma skin cancer using dermoscopy images 14. ... In: Recent trends in signal and image processing.

Author: Vinit Kumar Gunjan

Publisher: Springer Nature

ISBN: 9811664072

Category: Technology & Engineering

Page: 827

View: 675

This book contains original, peer-reviewed research articles from the Second International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications, held in March 28-29th 2021 at CMR Institute of Technology, Hyderabad, Telangana India. It covers the latest research trends and developments in areas of machine learning, artificial intelligence, neural networks, cyber-physical systems, cybernetics, with emphasis on applications in smart cities, Internet of Things, practical data science and cognition. The book focuses on the comprehensive tenets of artificial intelligence, machine learning and deep learning to emphasize its use in modelling, identification, optimization, prediction, forecasting and control of future intelligent systems. Submissions were solicited of unpublished material, and present in-depth fundamental research contributions from a methodological/application perspective in understanding artificial intelligence and machine learning approaches and their capabilities in solving a diverse range of problems in industries and its real-world applications.

Recent Trends in Signal and Image Processing

This book gathers selected papers presented at the Third International Symposium on Signal and Image Processing (ISSIP 2020), organized by the Department of Information Technology, RCC Institute of Information Technology, Kolkata, during ...

Author: Siddhartha Bhattacharyya

Publisher: Springer Nature

ISBN: 9813369663

Category: Technology & Engineering

Page: 167

View: 823

This book gathers selected papers presented at the Third International Symposium on Signal and Image Processing (ISSIP 2020), organized by the Department of Information Technology, RCC Institute of Information Technology, Kolkata, during March 18–19, 2020. It presents fascinating, state-of-the-art research findings in the field of signal and image processing. It includes conference papers covering a wide range of signal processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition, reconstruction and fractal analysis. It addresses various types of signals, such as image, video, speech, non-speech audio, handwritten text, geometric diagram, ECG and EMG signals; MRI, PET and CT scan images; THz signals; solar wind speed signals (SWS); and photoplethysmogram (PPG) signals, and demonstrates how new paradigms of intelligent computing, like quantum computing, can be applied to process and analyze signals precisely and effectively.

Applications of Hybrid Metaheuristic Algorithms for Image Processing

A.G. Hussien, A.E. Hassanien, E.H. Houssein, S. Bhattacharyya, M. Amin, S-shaped binary whale optimization algorithm for feature selection, in Recent Trends in Signal and Image Processing (Springer, 2019), pp. 79–87 16.

Author: Diego Oliva

Publisher: Springer Nature

ISBN: 3030409775

Category: Technology & Engineering

Page: 490

View: 373

This book presents a collection of the most recent hybrid methods for image processing. The algorithms included consider evolutionary, swarm, machine learning and deep learning. The respective chapters explore different areas of image processing, from image segmentation to the recognition of objects using complex approaches and medical applications. The book also discusses the theory of the methodologies used to provide an overview of the applications of these tools in image processing. The book is primarily intended for undergraduate and postgraduate students of science, engineering and computational mathematics, and can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence. Further, it is a valuable resource for researchers from the evolutionary computation, artificial intelligence and image processing communities.

Computer Vision and Image Processing

Saeedi, J., Moradi, M.H., Faez, K.: A new wavelet-based fuzzy single and multi-channel image denoising. Image Vis. Comput. 28(12), 1611–1623 (2010) 3. ... Recent Trends in Signal and Image Processing. AISC, vol. 727, pp. 131–140.

Author: Neeta Nain

Publisher: Springer Nature

ISBN: 9811540152

Category: Computers

Page: 435

View: 295

This two-volume set (CCIS 1147, CCIS 1148) constitutes the refereed proceedings of the 4th International Conference on Computer Vision and Image Processing. held in Jaipur, India, in September 2019. The 73 full papers and 10 short papers were carefully reviewed and selected from 202 submissions. The papers are organized according to the following topics:​ Part I: Biometrics; Computer Forensic; Computer Vision; Dimension Reduction; Healthcare Information Systems; Image Processing; Image segmentation; Information Retrieval; Instance based learning; Machine Learning.Part II: ​Neural Network; Object Detection; Object Recognition; Online Handwriting Recognition; Optical Character Recognition; Security and Privacy; Unsupervised Clustering.

Recent Trends in Computer aided Diagnostic Systems for Skin Diseases

Addresses the recent development of image processing and machine learning techniques for the identification and ... learning techniques • Provides a comprehensive coverage on the development of various signal processing tools for the ...

Author: Saptarshi Chatterjee

Publisher: Academic Press

ISBN: 0323914667

Category: Computers

Page: 204

View: 276

Recent Trends in Computer-aided Diagnostic Systems for Skin Diseases: Theory, Implementation, and Analysis provides comprehensive coverage on the development of computer-aided diagnostic (CAD) systems employing image processing and machine learning tools for improved, uniform evaluation and diagnosis (avoiding subjective judgment) of skin disorders. The methods and tools are described in a general way so that these tools can be applied not only for skin diseases but also for a wide range of analogous problems in the domain of biomedical systems. Moreover, quantification of clinically relevant information that can associate the findings of physicians/experts is the most challenging task of any CAD system. This book gives all the details in a step-by-step form for different modules so that the readers can develop each of the modules like preprocessing, feature extraction/learning, disease classification, as well as an entire expert diagnosis system themselves for their own applications. Demonstrates extensive calculations for illustrating the theoretical analysis of advanced image processing and machine learning techniques Provides a comprehensive coverage on the development of various signal processing tools for the extraction of statistical and clinically correlated features from skin lesion images Describes image processing and machine learning techniques for improved uniform evaluation and diagnosis of skin disorders