Computational intelligence based solutions for vision systems /

Computer vision and image processing-based systems and their applications are already an integral part of modern living and are expected to increase in prevalence and complexity. Vision system provides the ability to handle and examine the large data generated by cameras and make a decision based on...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Bajaj, Varun (Editor ), Ansari, Irshad Ahmad (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2022]
Colección:IOP (Series). Release 22.
IOP series in next generation computing.
IOP ebooks. 2022 collection.
Temas:
Computer vision.
Computational intelligence.
Engineering.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Drone-based vision system : surveillance during calamities / Ankit Charan Janbandhu, Sachin Sharma, Irshad Ahmad Ansari and Varun Bajaj
  • 2. Use of computer vision to inspect automatically machined workpieces / Virginia Riego del Castillo and Lidia Sánchez-González
  • 3. Machine learning for vision based crowd management / K.S. Kavitha and Megha P. Arakeri
  • 4. Skin cancer classification model based on hybrid deep feature generation and iterative mRMR / Orhan Yaman, Sengul Dogan, Turker Tuncer and Abdulhamit Subasi
  • 5. An analysis of human activity recognition systems and their importance in the current era / Chaitanya Krishna Pasula and V.M. Manikandan
  • 6. A deep learning-based food detection and classification system / Bhan Singh, Divyanshu, Mayur Kashyap, Himanshu Gupta and Om Prakash Verma
  • 7. The detection of images recaptured through screenshots based on spatial rich model analysis / Areesha Anjum and Saiful Islam
  • 8. Data augmentation for deep ensembles in polyp segmentation / Loris Nanni, Daniela Cuza, Alessandra Lumini and Sheryl Brahnam
  • 9. Identification of the onset of Parkinson's disease through a multiscale classification deep learning model utilizing a fusion of multiple conventional features with an nDS spatially exploited symmetrical convolutional pattern / Ranita Khumukcham and Gaurav Saxena
  • 10. Computer vision approach with deep learning for a medical intelligence system / Monali Gulhane
  • 11. Machine learning in medicine : diagnosis of skin cancer using a support vector machine (SVM) classifier / Siddarth Shah, Dipen Gohil, Rutvik Shah and Manan Shah.

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