A High-Precision Pixel Mapping Method for Image-Sensitive Areas Based on SVR

Huang Jing, Amit Yadav, Asif Khan, Dakshina Yadav

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedings

Abstract

It is necessary to monitor the grain size characteristics of particles at production site to control the production equipment, for the assurance of product quality. In this respect, prior research finds that it is critical to evaluate the accuracy of tiny particles since the current practice indicates that the existing methods illustrate multiple shortcomings including large measure error, low accuracy and poor repeatability. Therefore, to improve the accuracy of particles, monitoring this study proposed a calibration method based on SVR algorithm to predict the accurate pixel size of the particles. Results revealed that high-precision pixel mapping of the sensitive area transforms the pixel mapping of the particle image closer to the actual size and improves the measurement precision of the whole system.

Original languageEnglish
Title of host publicationProgress in Advanced Computing and Intelligent Engineering - Proceedings of ICACIE 2019
EditorsChhabi Rani Panigrahi, Bibudhendu Pati, Prasant Mohapatra, Rajkumar Buyya, Kuan-Ching Li
PublisherSpringer Science and Business Media Deutschland GmbH
Pages35-43
Number of pages9
ISBN (Print)9789811565830
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event4th International Conference on Advanced Computing and Intelligent Engineering, ICACIE 2019 - Bhubaneswar, India
Duration: 21 Dec 201923 Dec 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1198
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference4th International Conference on Advanced Computing and Intelligent Engineering, ICACIE 2019
CountryIndia
CityBhubaneswar
Period21/12/1923/12/19

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