Intelligent Processing on Image and Optical Information
This book focuses on the intelligent processing of images and optical information acquired by various imaging methods. Intelligent image and optical information processing have paved the way for the recent epoch of new intelligence and information era. Certainly, information acquired by various imag...
Saved in:
| Other Authors: | |
|---|---|
| Format: | Book Chapter |
| Published: |
Basel, Switzerland
MDPI - Multidisciplinary Digital Publishing Institute
2020
|
| Subjects: | |
| Online Access: | Get Fullteks DOAB: description of the publication |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| LEADER | 05004naaaa2201345uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_69046 | ||
| 005 | 20210501 | ||
| 020 | |a books978-3-03936-945-4 | ||
| 020 | |a 9783039369447 | ||
| 020 | |a 9783039369454 | ||
| 024 | 7 | |a 10.3390/books978-3-03936-945-4 |c doi | |
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 072 | 7 | |a TBX |2 bicssc | |
| 100 | 1 | |a Yeom, Seokwon |4 edt | |
| 700 | 1 | |a Yeom, Seokwon |4 oth | |
| 245 | 1 | 0 | |a Intelligent Processing on Image and Optical Information |
| 260 | |a Basel, Switzerland |b MDPI - Multidisciplinary Digital Publishing Institute |c 2020 | ||
| 300 | |a 1 electronic resource (324 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a This book focuses on the intelligent processing of images and optical information acquired by various imaging methods. Intelligent image and optical information processing have paved the way for the recent epoch of new intelligence and information era. Certainly, information acquired by various imaging techniques is of tremendous value; thus, an intelligent analysis of them is necessary to make the best use of it. A broad range of research fields is included in this book. Many studies focus on object classification and detection. Registration, segmentation, and fusion are performed between a series of images. Many valuable and up-to-most recent technologies are provided to solve the real problems in selected papers. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |4 https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a History of engineering & technology |2 bicssc | |
| 653 | |a change detection | ||
| 653 | |a NSCT | ||
| 653 | |a variogram function | ||
| 653 | |a structure similarity | ||
| 653 | |a Dongting Lake | ||
| 653 | |a ego-motion estimation | ||
| 653 | |a hand-eye calibration | ||
| 653 | |a IMU | ||
| 653 | |a lidar odometry | ||
| 653 | |a sensor fusion | ||
| 653 | |a texture classification | ||
| 653 | |a Gabor filter | ||
| 653 | |a parameter optimization | ||
| 653 | |a feature selection | ||
| 653 | |a hybrid ant lion optimizer | ||
| 653 | |a wireless multimedia sensor networks | ||
| 653 | |a wildlife monitoring image | ||
| 653 | |a extraction | ||
| 653 | |a Hermite | ||
| 653 | |a adaptive mean-shift | ||
| 653 | |a biomedical imaging | ||
| 653 | |a bone fracture | ||
| 653 | |a calcaneus | ||
| 653 | |a CT image | ||
| 653 | |a segmentation | ||
| 653 | |a zebrafish egg | ||
| 653 | |a microscopy image processing | ||
| 653 | |a convolutional neural network | ||
| 653 | |a digital image correlation | ||
| 653 | |a high-temperature measurement | ||
| 653 | |a heat waves | ||
| 653 | |a thermal disturbance | ||
| 653 | |a background-oriented schlieren | ||
| 653 | |a fermentation monitoring | ||
| 653 | |a quality inspection | ||
| 653 | |a process automation | ||
| 653 | |a deep learning | ||
| 653 | |a superellipsoid model fitting | ||
| 653 | |a optical sensor | ||
| 653 | |a multi-sensor | ||
| 653 | |a face registration | ||
| 653 | |a inner-distance | ||
| 653 | |a Student's-t Mixtures Model | ||
| 653 | |a image fusion | ||
| 653 | |a continuous casting slabs | ||
| 653 | |a surface defect classification | ||
| 653 | |a discrete non-separable shearlet transform | ||
| 653 | |a gray-level co-occurrence matrix | ||
| 653 | |a kernel spectral regression | ||
| 653 | |a block compressed sensing | ||
| 653 | |a error resilience | ||
| 653 | |a reconstruction | ||
| 653 | |a image completion | ||
| 653 | |a tensor decomposition models | ||
| 653 | |a image interpolation | ||
| 653 | |a image up-scaling | ||
| 653 | |a numerical optimization | ||
| 653 | |a ADAM | ||
| 653 | |a machine learning | ||
| 653 | |a stochastic gradient methods | ||
| 653 | |a healthy and infected lemons | ||
| 653 | |a Hyperspectral image | ||
| 653 | |a Penicillium digitatum pathogen | ||
| 653 | |a lemon skin | ||
| 653 | |a dominant spectral wavelength | ||
| 653 | |a spectral intensity ratio | ||
| 653 | |a zebrafish larva | ||
| 653 | |a microscopy image analysis | ||
| 653 | |a deep neural network | ||
| 653 | |a clustering evaluation | ||
| 653 | |a clustering algorithm | ||
| 653 | |a cluster validity index | ||
| 653 | |a boundary point | ||
| 653 | |a interior point | ||
| 653 | |a radiographic image | ||
| 653 | |a image processing | ||
| 653 | |a feature extraction | ||
| 653 | |a classifier | ||
| 653 | |a defect detection | ||
| 653 | |a generative models | ||
| 653 | |a GAN (Generative adversarial networks) | ||
| 653 | |a facial image | ||
| 653 | |a generation | ||
| 653 | |a database augmentation | ||
| 653 | |a synthesis | ||
| 653 | |a autofocus | ||
| 653 | |a night vision goggles | ||
| 653 | |a sparse and low-rank matrix decomposition | ||
| 653 | |a n/a | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://mdpi.com/books/pdfview/book/2815 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/69046 |7 0 |z DOAB: description of the publication |