Deep learning-based image analysis under constrained and unconstrained environments:
"This book attempts to provide an overview of image analysis based on deep learning methods and their applications, allowing readers to learn and explore the latest advancements, developments, methods, systems, futuristic approaches and algorithms towards image analysis"--
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2021.
|
| Schlagworte: | |
| Online-Zugang: | DE-862 DE-863 |
| Zusammenfassung: | "This book attempts to provide an overview of image analysis based on deep learning methods and their applications, allowing readers to learn and explore the latest advancements, developments, methods, systems, futuristic approaches and algorithms towards image analysis"-- |
| Beschreibung: | 24 PDFs (381 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799866923 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 245 | 0 | 0 | |a Deep learning-based image analysis under constrained and unconstrained environments |c Alex Noel Joseph Raj, Vijayalakshmi G.V. Mahesh and Nersisson Ruban, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2021. | |
| 300 | |a 24 PDFs (381 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Computer processing of an image: an introduction -- Chapter 2. Brain tumor detection and classification based on histogram equalization using machine learning -- Chapter 3. Breast ultrasound image processing -- Chapter 4. Layer-wise tumor segmentation of breast images using convolutional neural networks -- Chapter 5. Breast cancer detection using random forest classifier -- Chapter 6. Pulomonary nodule classification from CT scan images using machine learning method -- Chapter 7. Segmentation of optic disc from fundus image based on morphology and SVM classifier -- Chapter 8. Performance analysis of VGG19 deep learning network based brain image fusion -- Chapter 9. Apple leaf disease identification based on optimized deep neural network -- Chapter 10. A new approach of deep learning-based Tamil vowels prediction using segmentation and U-net architecture -- Chapter 11. Edge enhancement method for detection of text from handwritten documents -- Chapter 12. A deep learning-based framework for accurate facial ethnicity classification and efficient query retrieval -- Chapter 13. Finding facial emotions from the clutter scenes using Zernike moments-based convolutional neural networks -- Chapter 14. Facial expression: psychophysiological study -- Chapter 15. Performance analysis of GAN architecture for effective facial expression synthesis -- Chapter 16. Deep convolutional neural network for object classification: under constrained and unconstrained environments. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book attempts to provide an overview of image analysis based on deep learning methods and their applications, allowing readers to learn and explore the latest advancements, developments, methods, systems, futuristic approaches and algorithms towards image analysis"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | 0 | |a Description based on title screen (IGI Global, viewed 12/05/2020). | |
| 650 | 0 | |a Image analysis |x Data processing. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 7 | |a Image analysis |x Data processing |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 653 | |a Convolutional Neural Networks. | ||
| 653 | |a Deep Learning. | ||
| 653 | |a Deep Neural Network. | ||
| 653 | |a Disease Detection. | ||
| 653 | |a Edge Enhancement. | ||
| 653 | |a GAN Architecture. | ||
| 653 | |a Image Processing. | ||
| 653 | |a Image Segmentation. | ||
| 653 | |a Machine Learning. | ||
| 653 | |a Mobile Applications. | ||
| 653 | |a U-Net Architecture. | ||
| 653 | |a Ultrasound. | ||
| 700 | 1 | |a Mahesh, Vijayalakshmi G. V. |d 1978- |e editor. | |
| 700 | 1 | |a Raj, Alex Noel Joseph |d 1979- |e editor. | |
| 700 | 1 | |a Ruban, Nersisson |d 1980- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| 912 | |a ZDB-98-IGB | ||
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| 049 | |a DE-863 | ||
Datensatz im Suchindex
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|---|---|
| _version_ | 1826942599385055232 |
| adam_text | |
| any_adam_object | |
| author2 | Mahesh, Vijayalakshmi G. V. 1978- Raj, Alex Noel Joseph 1979- Ruban, Nersisson 1980- |
| author2_role | edt edt edt |
| author2_variant | v g v m vgv vgvm a n j r anj anjr n r nr |
| author_facet | Mahesh, Vijayalakshmi G. V. 1978- Raj, Alex Noel Joseph 1979- Ruban, Nersisson 1980- |
| building | Verbundindex |
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| callnumber-search | TA1637 .H36 2021e |
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| collection | ZDB-98-IGB |
| contents | Chapter 1. Computer processing of an image: an introduction -- Chapter 2. Brain tumor detection and classification based on histogram equalization using machine learning -- Chapter 3. Breast ultrasound image processing -- Chapter 4. Layer-wise tumor segmentation of breast images using convolutional neural networks -- Chapter 5. Breast cancer detection using random forest classifier -- Chapter 6. Pulomonary nodule classification from CT scan images using machine learning method -- Chapter 7. Segmentation of optic disc from fundus image based on morphology and SVM classifier -- Chapter 8. Performance analysis of VGG19 deep learning network based brain image fusion -- Chapter 9. Apple leaf disease identification based on optimized deep neural network -- Chapter 10. A new approach of deep learning-based Tamil vowels prediction using segmentation and U-net architecture -- Chapter 11. Edge enhancement method for detection of text from handwritten documents -- Chapter 12. A deep learning-based framework for accurate facial ethnicity classification and efficient query retrieval -- Chapter 13. Finding facial emotions from the clutter scenes using Zernike moments-based convolutional neural networks -- Chapter 14. Facial expression: psychophysiological study -- Chapter 15. Performance analysis of GAN architecture for effective facial expression synthesis -- Chapter 16. Deep convolutional neural network for object classification: under constrained and unconstrained environments. |
| ctrlnum | (CaBNVSL)slc00000956 (OCoLC)1225597859 |
| dewey-full | 621.36/70285631 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.36/70285631 |
| dewey-search | 621.36/70285631 |
| dewey-sort | 3621.36 870285631 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00256635 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:34Z |
| institution | BVB |
| isbn | 9781799866923 |
| language | English |
| oclc_num | 1225597859 |
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| physical | 24 PDFs (381 Seiten) Also available in print. |
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| spelling | Deep learning-based image analysis under constrained and unconstrained environments Alex Noel Joseph Raj, Vijayalakshmi G.V. Mahesh and Nersisson Ruban, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2021. 24 PDFs (381 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Computer processing of an image: an introduction -- Chapter 2. Brain tumor detection and classification based on histogram equalization using machine learning -- Chapter 3. Breast ultrasound image processing -- Chapter 4. Layer-wise tumor segmentation of breast images using convolutional neural networks -- Chapter 5. Breast cancer detection using random forest classifier -- Chapter 6. Pulomonary nodule classification from CT scan images using machine learning method -- Chapter 7. Segmentation of optic disc from fundus image based on morphology and SVM classifier -- Chapter 8. Performance analysis of VGG19 deep learning network based brain image fusion -- Chapter 9. Apple leaf disease identification based on optimized deep neural network -- Chapter 10. A new approach of deep learning-based Tamil vowels prediction using segmentation and U-net architecture -- Chapter 11. Edge enhancement method for detection of text from handwritten documents -- Chapter 12. A deep learning-based framework for accurate facial ethnicity classification and efficient query retrieval -- Chapter 13. Finding facial emotions from the clutter scenes using Zernike moments-based convolutional neural networks -- Chapter 14. Facial expression: psychophysiological study -- Chapter 15. Performance analysis of GAN architecture for effective facial expression synthesis -- Chapter 16. Deep convolutional neural network for object classification: under constrained and unconstrained environments. Restricted to subscribers or individual electronic text purchasers. "This book attempts to provide an overview of image analysis based on deep learning methods and their applications, allowing readers to learn and explore the latest advancements, developments, methods, systems, futuristic approaches and algorithms towards image analysis"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 12/05/2020). Image analysis Data processing. Machine learning. Image analysis Data processing fast Machine learning fast Convolutional Neural Networks. Deep Learning. Deep Neural Network. Disease Detection. Edge Enhancement. GAN Architecture. Image Processing. Image Segmentation. Machine Learning. Mobile Applications. U-Net Architecture. Ultrasound. Mahesh, Vijayalakshmi G. V. 1978- editor. Raj, Alex Noel Joseph 1979- editor. Ruban, Nersisson 1980- editor. IGI Global, publisher. (Original) (DLC)2020026766 Print version: 1799866904 9781799866909 (DLC) 2020026766 |
| spellingShingle | Deep learning-based image analysis under constrained and unconstrained environments Chapter 1. Computer processing of an image: an introduction -- Chapter 2. Brain tumor detection and classification based on histogram equalization using machine learning -- Chapter 3. Breast ultrasound image processing -- Chapter 4. Layer-wise tumor segmentation of breast images using convolutional neural networks -- Chapter 5. Breast cancer detection using random forest classifier -- Chapter 6. Pulomonary nodule classification from CT scan images using machine learning method -- Chapter 7. Segmentation of optic disc from fundus image based on morphology and SVM classifier -- Chapter 8. Performance analysis of VGG19 deep learning network based brain image fusion -- Chapter 9. Apple leaf disease identification based on optimized deep neural network -- Chapter 10. A new approach of deep learning-based Tamil vowels prediction using segmentation and U-net architecture -- Chapter 11. Edge enhancement method for detection of text from handwritten documents -- Chapter 12. A deep learning-based framework for accurate facial ethnicity classification and efficient query retrieval -- Chapter 13. Finding facial emotions from the clutter scenes using Zernike moments-based convolutional neural networks -- Chapter 14. Facial expression: psychophysiological study -- Chapter 15. Performance analysis of GAN architecture for effective facial expression synthesis -- Chapter 16. Deep convolutional neural network for object classification: under constrained and unconstrained environments. Image analysis Data processing. Machine learning. Image analysis Data processing fast Machine learning fast |
| title | Deep learning-based image analysis under constrained and unconstrained environments |
| title_auth | Deep learning-based image analysis under constrained and unconstrained environments |
| title_exact_search | Deep learning-based image analysis under constrained and unconstrained environments |
| title_full | Deep learning-based image analysis under constrained and unconstrained environments Alex Noel Joseph Raj, Vijayalakshmi G.V. Mahesh and Nersisson Ruban, editors. |
| title_fullStr | Deep learning-based image analysis under constrained and unconstrained environments Alex Noel Joseph Raj, Vijayalakshmi G.V. Mahesh and Nersisson Ruban, editors. |
| title_full_unstemmed | Deep learning-based image analysis under constrained and unconstrained environments Alex Noel Joseph Raj, Vijayalakshmi G.V. Mahesh and Nersisson Ruban, editors. |
| title_short | Deep learning-based image analysis under constrained and unconstrained environments |
| title_sort | deep learning based image analysis under constrained and unconstrained environments |
| topic | Image analysis Data processing. Machine learning. Image analysis Data processing fast Machine learning fast |
| topic_facet | Image analysis Data processing. Machine learning. Image analysis Data processing Machine learning |
| work_keys_str_mv | AT maheshvijayalakshmigv deeplearningbasedimageanalysisunderconstrainedandunconstrainedenvironments AT rajalexnoeljoseph deeplearningbasedimageanalysisunderconstrainedandunconstrainedenvironments AT rubannersisson deeplearningbasedimageanalysisunderconstrainedandunconstrainedenvironments AT igiglobal deeplearningbasedimageanalysisunderconstrainedandunconstrainedenvironments |