Entropy in Image Analysis II
Image analysis is a fundamental task for any application where extracting information from images is required. The analysis requires highly sophisticated numerical and analytical methods, particularly for those applications in medicine, security, and other fields where the results of the processing...
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| Formaat: | Online |
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| Taal: | Engels |
| Gepubliceerd in: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Online toegang: | ONIX_20210501_9783039431601_907 |
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| _version_ | 1869528528847896576 |
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| collection | Directory of Open Access Books |
| description | Image analysis is a fundamental task for any application where extracting information from images is required. The analysis requires highly sophisticated numerical and analytical methods, particularly for those applications in medicine, security, and other fields where the results of the processing consist of data of vital importance. This fact is evident from all the articles composing the Special Issue "Entropy in Image Analysis II", in which the authors used widely tested methods to verify their results. In the process of reading the present volume, the reader will appreciate the richness of their methods and applications, in particular for medical imaging and image security, and a remarkable cross-fertilization among the proposed research areas. |
| format | Online |
| id | doab-20.500.12854ir-69161 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-691612024-04-11T15:10:33Z Entropy in Image Analysis II Sparavigna, Amelia Carolina image binarization optical character recognition local entropy filter thresholding image preprocessing image entropy image encryption medical color images RGB chaotic system crowd behavior analysis salient crowd motion detection repulsive force direction entropy node strength Pompe disease children quantitative muscle ultrasound texture-feature parametric imaging compound chaotic system S-box image information entropy image chaotic encryption cryptography Latin cube bit cube chosen plaintext attack atmosphere background engine flame infrared radiation detectability image quality evaluation image retrieval pooling method convolutional neural network feature distribution entropy lossless compression pattern classification machine learning malaria infection entropy Golomb–Rice codes image processing image segmentation weld segmentation weld evaluation convolution neural network Python Keras RSNNS MXNet brain-computer interface (BCI) electroencephalography (EEG) motor imagery (MI) continuous wavelet transform (CWT) convolutional neural network (CNN) hyperchaotic system filtering DNA computing diffusion deep neural network data expansion blind image quality assessment saliency and distortion human visual system declining quality data hiding AMBTC steganography stego image dictionary-based coding pixel value adjusting neuroaesthetics symmetry balance complexity chiaroscuro normalized entropy renaissance portrait paintings art history art statistics chaotic systems DNA coding security analysis magnetic resonance images non-maximum suppression object detection key-point detection IoU feature fusion quasi-resonant Rossby/drift wave triads Mordell elliptic curve pseudo-random numbers substitution box nuclear spin generator medical image peak signal-to-noise ratio key space calculation Duchenne muscular dystrophy ultrasound backscattered signals medical imaging neural engineering computer vision crowd motion detection security thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Image analysis is a fundamental task for any application where extracting information from images is required. The analysis requires highly sophisticated numerical and analytical methods, particularly for those applications in medicine, security, and other fields where the results of the processing consist of data of vital importance. This fact is evident from all the articles composing the Special Issue "Entropy in Image Analysis II", in which the authors used widely tested methods to verify their results. In the process of reading the present volume, the reader will appreciate the richness of their methods and applications, in particular for medical imaging and image security, and a remarkable cross-fertilization among the proposed research areas. 2021-05-01T15:42:43Z 2021-05-01T15:42:43Z 2020 book ONIX_20210501_9783039431601_907 9783039431601 9783039431618 https://directory.doabooks.org/handle/20.500.12854/69161 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/2933 https://mdpi.com/books/pdfview/book/2933 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03943-161-8 10.3390/books978-3-03943-161-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039431601 9783039431618 394 Basel, Switzerland open access |
| spellingShingle | image binarization optical character recognition local entropy filter thresholding image preprocessing image entropy image encryption medical color images RGB chaotic system crowd behavior analysis salient crowd motion detection repulsive force direction entropy node strength Pompe disease children quantitative muscle ultrasound texture-feature parametric imaging compound chaotic system S-box image information entropy image chaotic encryption cryptography Latin cube bit cube chosen plaintext attack atmosphere background engine flame infrared radiation detectability image quality evaluation image retrieval pooling method convolutional neural network feature distribution entropy lossless compression pattern classification machine learning malaria infection entropy Golomb–Rice codes image processing image segmentation weld segmentation weld evaluation convolution neural network Python Keras RSNNS MXNet brain-computer interface (BCI) electroencephalography (EEG) motor imagery (MI) continuous wavelet transform (CWT) convolutional neural network (CNN) hyperchaotic system filtering DNA computing diffusion deep neural network data expansion blind image quality assessment saliency and distortion human visual system declining quality data hiding AMBTC steganography stego image dictionary-based coding pixel value adjusting neuroaesthetics symmetry balance complexity chiaroscuro normalized entropy renaissance portrait paintings art history art statistics chaotic systems DNA coding security analysis magnetic resonance images non-maximum suppression object detection key-point detection IoU feature fusion quasi-resonant Rossby/drift wave triads Mordell elliptic curve pseudo-random numbers substitution box nuclear spin generator medical image peak signal-to-noise ratio key space calculation Duchenne muscular dystrophy ultrasound backscattered signals medical imaging neural engineering computer vision crowd motion detection security thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Entropy in Image Analysis II |
| title | Entropy in Image Analysis II |
| title_full | Entropy in Image Analysis II |
| title_fullStr | Entropy in Image Analysis II |
| title_full_unstemmed | Entropy in Image Analysis II |
| title_short | Entropy in Image Analysis II |
| title_sort | entropy in image analysis ii |
| topic | image binarization optical character recognition local entropy filter thresholding image preprocessing image entropy image encryption medical color images RGB chaotic system crowd behavior analysis salient crowd motion detection repulsive force direction entropy node strength Pompe disease children quantitative muscle ultrasound texture-feature parametric imaging compound chaotic system S-box image information entropy image chaotic encryption cryptography Latin cube bit cube chosen plaintext attack atmosphere background engine flame infrared radiation detectability image quality evaluation image retrieval pooling method convolutional neural network feature distribution entropy lossless compression pattern classification machine learning malaria infection entropy Golomb–Rice codes image processing image segmentation weld segmentation weld evaluation convolution neural network Python Keras RSNNS MXNet brain-computer interface (BCI) electroencephalography (EEG) motor imagery (MI) continuous wavelet transform (CWT) convolutional neural network (CNN) hyperchaotic system filtering DNA computing diffusion deep neural network data expansion blind image quality assessment saliency and distortion human visual system declining quality data hiding AMBTC steganography stego image dictionary-based coding pixel value adjusting neuroaesthetics symmetry balance complexity chiaroscuro normalized entropy renaissance portrait paintings art history art statistics chaotic systems DNA coding security analysis magnetic resonance images non-maximum suppression object detection key-point detection IoU feature fusion quasi-resonant Rossby/drift wave triads Mordell elliptic curve pseudo-random numbers substitution box nuclear spin generator medical image peak signal-to-noise ratio key space calculation Duchenne muscular dystrophy ultrasound backscattered signals medical imaging neural engineering computer vision crowd motion detection security thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | image binarization optical character recognition local entropy filter thresholding image preprocessing image entropy image encryption medical color images RGB chaotic system crowd behavior analysis salient crowd motion detection repulsive force direction entropy node strength Pompe disease children quantitative muscle ultrasound texture-feature parametric imaging compound chaotic system S-box image information entropy image chaotic encryption cryptography Latin cube bit cube chosen plaintext attack atmosphere background engine flame infrared radiation detectability image quality evaluation image retrieval pooling method convolutional neural network feature distribution entropy lossless compression pattern classification machine learning malaria infection entropy Golomb–Rice codes image processing image segmentation weld segmentation weld evaluation convolution neural network Python Keras RSNNS MXNet brain-computer interface (BCI) electroencephalography (EEG) motor imagery (MI) continuous wavelet transform (CWT) convolutional neural network (CNN) hyperchaotic system filtering DNA computing diffusion deep neural network data expansion blind image quality assessment saliency and distortion human visual system declining quality data hiding AMBTC steganography stego image dictionary-based coding pixel value adjusting neuroaesthetics symmetry balance complexity chiaroscuro normalized entropy renaissance portrait paintings art history art statistics chaotic systems DNA coding security analysis magnetic resonance images non-maximum suppression object detection key-point detection IoU feature fusion quasi-resonant Rossby/drift wave triads Mordell elliptic curve pseudo-random numbers substitution box nuclear spin generator medical image peak signal-to-noise ratio key space calculation Duchenne muscular dystrophy ultrasound backscattered signals medical imaging neural engineering computer vision crowd motion detection security thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20210501_9783039431601_907 |