A Novel Intelligent Approach to Anchorage Measurement using Electron Microscopy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

There are several key attributes within the medical packaging industry, such as, Anchorage, Seal strength etc, which characterize the quality of the medical packaging product. This paper presents a new approach to determine the Anchorage of the packaging material. The conventional approach to anchorage measurement involves a manual visual inspection procedure, which is very subjective and has led to inconsistencies in quality control. A new proposed method to improve this procedure involves image-processing technique, which will eliminate operator dependencies. A fuzzy reasoning approach is then used to quantify the results generated from image processing which replaces the human decision process. This fusion of these techniques results in a more automated systematic approach to anchorage measurement. Experimental studies confirm that this novel approach leads to a more robust and improved quality control system for the medical packaging company.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages3810-3815
Number of pages6
DOIs
Publication statusPublished - Oct 2003
Event2003 IEEE International Conference on Systems, Man & Cybernetics - Washington D.C., USA.
Duration: 1 Oct 2003 → …

Conference

Conference2003 IEEE International Conference on Systems, Man & Cybernetics
Period1/10/03 → …

Fingerprint

Electron microscopy
Packaging
Quality control
Image processing
Packaging materials
Seals
Industry
Fusion reactions
Inspection
Control systems

Cite this

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title = "A Novel Intelligent Approach to Anchorage Measurement using Electron Microscopy",
abstract = "There are several key attributes within the medical packaging industry, such as, Anchorage, Seal strength etc, which characterize the quality of the medical packaging product. This paper presents a new approach to determine the Anchorage of the packaging material. The conventional approach to anchorage measurement involves a manual visual inspection procedure, which is very subjective and has led to inconsistencies in quality control. A new proposed method to improve this procedure involves image-processing technique, which will eliminate operator dependencies. A fuzzy reasoning approach is then used to quantify the results generated from image processing which replaces the human decision process. This fusion of these techniques results in a more automated systematic approach to anchorage measurement. Experimental studies confirm that this novel approach leads to a more robust and improved quality control system for the medical packaging company.",
author = "K Warne and G Prasad and NH Siddique and LP Maguire",
year = "2003",
month = "10",
doi = "10.1109/ICSMC.2003.1244482",
language = "English",
pages = "3810--3815",
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}

Warne, K, Prasad, G, Siddique, NH & Maguire, LP 2003, A Novel Intelligent Approach to Anchorage Measurement using Electron Microscopy. in Unknown Host Publication. pp. 3810-3815, 2003 IEEE International Conference on Systems, Man & Cybernetics, 1/10/03. https://doi.org/10.1109/ICSMC.2003.1244482

A Novel Intelligent Approach to Anchorage Measurement using Electron Microscopy. / Warne, K; Prasad, G; Siddique, NH; Maguire, LP.

Unknown Host Publication. 2003. p. 3810-3815.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - There are several key attributes within the medical packaging industry, such as, Anchorage, Seal strength etc, which characterize the quality of the medical packaging product. This paper presents a new approach to determine the Anchorage of the packaging material. The conventional approach to anchorage measurement involves a manual visual inspection procedure, which is very subjective and has led to inconsistencies in quality control. A new proposed method to improve this procedure involves image-processing technique, which will eliminate operator dependencies. A fuzzy reasoning approach is then used to quantify the results generated from image processing which replaces the human decision process. This fusion of these techniques results in a more automated systematic approach to anchorage measurement. Experimental studies confirm that this novel approach leads to a more robust and improved quality control system for the medical packaging company.

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