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Entropy in Image Analysis
| Entropy in Image Analysis |
| Autore | Sparavigna Amelia Carolina |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (456 p.) |
| Soggetto non controllato |
keyframes
time-delay whale optimization algorithm multilevel thresholding multi-exposure image fusion additive manufacturing patch structure decomposition ultra-sound images 3D scanning Arimoto entropy contrast enhancement spatial filling factor depth maps image processing 3D prints differential evolution field of experts normalized divergence measure image privacy multiscale top-hat transform q-exponential texture information entropy diffusion hybrid algorithm Weibull statistics adaptive selection nonextensive entropy computer aided diagnostics fatty liver random forest DNA encoding low contrast entropy Minkowski island fuzzy entropy free-form deformations person re-identification chaotic system DNA computing pavement information entropy discrete entropy Tsallis statistics video skimming prime-indexed primes natural scene statistics (NSS) Hénon map q-sigmoid image entropy Shannon entropy macrotexture Shannon’s entropy binary image multi-feature fusion image analysis uncertainty assessment non-rigid registration hash layer Cantor set dynamic filtering deep neural network security analysis multiple-image encryption Hamming distance blind image quality assessment (BIQA) q-Gaussian remote sensing decay trend chaotic cryptography chaotic strategy cross-entropy loss random insertion metabolic syndrome sign languages generalized entropies relevance feedback image retrieval two-dimensional chaotic economic map cryptanalysis infrared images 3D Latin cube SHA-256 hash value gradient distributions structural entropy discrete cosine transform (DCT) chaotic map hepatic steatosis machine vision electromagnetic field optimization security image segmentation quantization loss colonoscopy video summarization permutation Kapur’s entropy surface quality assessment permutation-diffusion Ramanujan primes Rényi entropies chosen-plaintext attack image encryption dynamic index color image segmentation ultrasound Otsu method sigmoid reconstruction image information entropy 3-D digital imaging positron emission tomography medical imaging |
| ISBN | 3-03921-093-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346845003321 |
Sparavigna Amelia Carolina
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sensors for Vital Signs Monitoring
| Sensors for Vital Signs Monitoring |
| Autore | Yang Jong-Ryul |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (141 p.) |
| Soggetto topico |
Technology: general issues
Energy industries & utilities |
| Soggetto non controllato |
cardiopulmonary resuscitation (CPR)
electroencephalogram (EEG) hemodynamic data carotid blood flow (CBF) cerebral circulation frequency-shift keying radar cross-correlation envelope detection continuous-wave radar frequency discrimination vital-signs monitoring heartbeat accuracy improvement heartbeat detection absolute distance measurement radar signal processing 3D+t modeling coronary artery non-rigid registration cage deformation 4D CT passenger detection CW radar radar feature vector radar machine learning wearable sensors physiology medical monitoring vital signs compensatory reserve ultra-high resolution cone-beam computed tomography low-contrast object optimal filter modulation transfer function noise power spectrum doppler cardiogram wavelet transform denoising mother wavelet function decomposition level signal decomposition signal-to-noise-ratio |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557554603321 |
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Yang Jong-Ryul
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||