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Empirical Performance Evaluation of Raster-to-Vector Conversion Methods: A Study on Multi-Level Interactions between Different Factors

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dc.contributor.authorAl-Khaffaf, HSMen_US
dc.contributor.authorTalib, AZen_US
dc.contributor.authorSalam, RAen_US
dc.date.accessioned2024-05-29T02:50:37Z
dc.date.available2024-05-29T02:50:37Z
dc.date.issued2011
dc.description.abstractMany factors, such as noise level in the original image and the noise-removal methods that clean the image prior to performing a vectorization, may play an important role in affecting the line detection of raster-to-vector conversion methods. In this paper, we propose an empirical performance evaluation methodology that is coupled with a robust statistical analysis method to study many factors that may affect the quality of line detection. Three factors are studied: noise level, noise-removal method, and the raster-to-vector conversion method. Eleven mechanical engineering drawings, three salt-and-pepper noise levels, six noise-removal methods, and three commercial vectorization methods were used in the experiment. The Vector Recovery Index (VRI) of the detected vectors was the criterion used for the quality of line detection. A repeated measure ANOVA analyzed the VRI scores. The statistical analysis shows that all the studied factors affected the quality of line detection. It also shows that two-way interactions between the studied factors affected line detection.
dc.identifier.doi10.1587/transinf.E94.D.1278
dc.identifier.epage1288
dc.identifier.issn1745-1361
dc.identifier.issue6
dc.identifier.scopusWOS:000292480800022
dc.identifier.spage1278
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/11089
dc.identifier.volumeE94D
dc.languageEnglish
dc.language.isoen_US
dc.publisherIeice-Inst Electronics Information Communications Engen_US
dc.relation.ispartofIeice Transactions On Information And Systems
dc.sourceWeb Of Science (ISI)
dc.subjectraster-to-vector conversionen_US
dc.subjectperformance evaluationen_US
dc.subjectsalt/pepper noiseen_US
dc.subjectengineering drawingen_US
dc.subjectbinary imageen_US
dc.subjectstatistical analysisen_US
dc.subjectrepeated measure ANOVAen_US
dc.subjectdocument analysis and recognitionen_US
dc.titleEmpirical Performance Evaluation of Raster-to-Vector Conversion Methods: A Study on Multi-Level Interactions between Different Factors
dc.typeArticleen_US
dspace.entity.typePublication

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