Image Processing in Industrial Chemical Engineering Trends and Applications

Author:

Walke Santosh1ORCID,Mandake Manoj2,Tapre Ravi W.3,Naniwadekar Makarand4,Thakar Chetan4,Jadhav Sandhya Dilip2

Affiliation:

1. College of Engineering, National University of Science and Technology, Muscat, Oman

2. Bharati Vidyapeeth College of Engineering, India

3. Datta Meghe College of Engineering, India

4. Savitribai Phule Pune University, India

Abstract

This chapter gives a thorough overview of image processing's uses and potential in industrial chemical engineering. Image processing can provide precise and in-depth information about chemical processes, products, and its significance in this field is highlighted. The foundations of image processing are covered in this chapter, including image formation and acquisition, image preprocessing, feature extraction, and selection. The applications of image-based process monitoring and control, image analysis for product quality control, and the newest developments and difficulties in machine learning in image-based chemical engineering are also covered. The section on machine learning in image-based chemical engineering gives a general overview of machine learning methods and how they are used in the field of chemical engineering. The chapter's discussion of image processing's limitations in chemical engineering, as well as current trends and future research prospects, come to close.

Publisher

IGI Global

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