Image Processing: Advances in Applications and Research

$195.00 – $305.00

Digvir S. Jayas, PhD – Distinguished Professor, Biosystems Engineering, University of Manitoba, Winnipeg, Canada

Series: Technology in a Globalizing World; Computer Science, Technology and Applications
BISAC: TEC009000; TEC015000; COM016000
DOI: https://doi.org/10.52305/IXDB2323

Humans have always used their senses to assess the quality of products at the personal level or in the industry. For example, when buying fruit, people examine the fruit for the parameters they consider are important for assessing its quality such as colour, uniformity of colour, surface roughness, size, shape, surface defect. However, they are not able to assess internal damages or constituents of the fruit because their vision is limited to visible spectrum which is part of a vast electromagnetic spectra. Also, in industrial situations, assessment of objects can be affected by tiredness and fatigue of inspectors as well as different inspectors may assess the required quality parameters differently. Machine vision that involves collecting information from objects in visible or other spectra and analyzing the obtained information using image processing steps can assess the quality consistently over a long period as well as assess the internal and external quality parameters. With advances in high quality sensors (cameras) for different spectra, computing power of computers, and ease of developing software for a specific application, it has been possible to apply machine vision to many fields covered in this book.

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Table of Contents

Preface

Acknowledgements

Chapter 1. Imaging Systems and Image Processing Techniques
Kamran Kheiralipour1, Vellaichamy Chelladurai2 and Digvir S. Jayas3
1Mechanical Engineering of Biosystems Department, Ilam University, Ilam, Iran
2Department of Agricultural Engineering, Bannnari Amman Institute of Technology, Sathyamangalam, Erode, India
3Department of Biosystems Engineering, University of Manitoba, Winnipeg, Manitoba, Canada

Chapter 2. Neural Networks for Analyzing and Processing Images of Objects
Jiangtao Li, Huiling Zhou, Jida Tian and Weihao Qiu
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China

Chapter 3. Image Processing for Grain Quality Monitoring
Thiruppathi Senthilkumar1, C. B. Singh1 and D. S. Jayas2
1Advanced Post-Harvest Technology Centre, CARIE, Lethbridge College, Lethbridge, Alberta, Canada
2Department of Biosystems Engineering, University of Manitoba, Winnipeg, Manitoba, Canada

Chapter 4. Image Processing for Quality Assessments of Flour and Flour-Based Baked Products
Kamran Kheiralipour1 and Digvir S. Jayas2
1Mechanical Engineering of Biosystems Department, Ilam University, Ilam, Iran
2Department of Biosystems Engineering, University of Manitoba, Winnipeg, Manitoba, Canada

Chapter 5. Non-Invasive Machine Vision Methods for Quality Assessments of Meat and Fish
Chaitanya Pallerla1, Lirong Xiang2 and Dongyi Wang1,3
1Department of Food Science, University of Arkansas, Fayetteville, Arkansas, USA
2Department of Biological and Agricultural Engineering, North Carolina State University, Raleigh, North Carolina, USA
3Department of Biological and Agricultural Engineering, Fayetteville, Arkansas, USA

Chapter 6. Applications of Visible, Thermal, and Hyperspectral Imaging Techniques in the Assessment of Fruits and Vegetables
Kamran Kheiralipour1, Chandra B. Singh2 and Digvir S. Jayas3
1Mechanical Engineering of Biosystems Department, Ilam University, Ilam, Iran
2Agricultural Engineering and Technology, Lethbridge College, Lethbridge, Alberta, Canada
3Department of Biosystems Engineering, University of Manitoba, Winnipeg, Manitoba, Canada

Chapter 7. Opportunities Offered by Image Processing Technology in Textiles and Apparel
Abdurrahman Telli
Department of Textile Engineering, Cukurova University, Adana, Turkey

Chapter 8. The Processing of Remotely Sensed Images: Various Methods for Retrieving Information
Ekta Baranwal
Department of Civil Engineering, Jamia Millia Islamia, New Delhi, India
Geospatial World, Noida, India

Chapter 9. Surface Pit Morphology and Corrosion Monitoring of Nano-Coated AISI 1008 Material
Kemal Yaman1 and Mehmet Fatih Öktem2
1Department of Industrial Design, Architecture and Design Faculty, OSTIM Technical University, Ankara, Turkey
2Department of Metallurgical and Materials Engineering, Ankara Yıldırım Beyazıt University, Ankara, Turkey

Index

Editor’s Biography

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