Computational Intelligence Based Solutions for Vision Systems / edited by Varun Bajaj and Irshad Ahmad Ansari.

Format:

Book

Contributor:

Bajaj, Varun, editor.

Ansari, Irshad Ahmad, editor.

Institute of Physics (Great Britain), publisher.

Series:

IOP expanding physics.

IOP Ebooks Series

Language:

English

Subjects (All):

Computational intelligence.

Computer vision.

Engineering.

Physical Description:

1 online resource (various pagings) : illustrations (some color).

Edition:

First edition.

Place of Publication:

Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2022]

System Details:

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.

Biography/History:

Irshad Ahmad Ansari has been working as a faculty in the discipline of Electronics and Communication Engineering, at Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur, India since 2017. Varun Bajaj (PhD, SMIEEE) is a faculty member at the Electronics and Communication Engineering department at the Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur.

Summary:

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 the situational requirement. As computational intelligent methods are especially adept at rapidly resolving inexact situations or where there is incomplete knowledge, they are being heavily researched and employed in this space. This merger creates intelligent vision systems, which can be extremely versatile, and this book focusses on the latest developments and current key research areas in the field.

Contents:

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.

Notes:

"Version: 20220501"--Title page verso.

Includes bibliographical references.

Title from PDF title page (viewed on June 10, 2022).

Description based on print version record.

ISBN:

9780750348218

0750348216

9780750348201

0750348208

OCLC:

1329974908