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Using Fuzzy Hybrid Features to Classify Strokes in Interactive Sketches
Joint Authors
Wang, Guanfeng
Wang, Shuxia
Yu, Suihuai
Gao, Mantun
Source
Advances in Mechanical Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-24
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
A novel method is presented based on fuzzy hybrid-based features to classify strokes into 2D line drawings, and a human computer interactive system is developed for assisting designers in conceptual design stage.
Fuzzy classifiers are built based on some geometric features and speed features.
The prototype system can support rapid classification based on fuzzy classifiers, and the classified stroke is then fitted with a 2D geometry primitive which could be a line segment, polyline, circle, circular arc, ellipse, elliptical arc, hyperbola, and parabola.
The human computer interaction can determine the ambiguous results and then revise the misrecognitions.
The test results showed that the proposed method can support online freehand sketching based on conceptual design with no limitation on drawing sequence and direction while achieving a satisfactory interpretation rate.
American Psychological Association (APA)
Wang, Shuxia& Wang, Guanfeng& Gao, Mantun& Yu, Suihuai. 2013. Using Fuzzy Hybrid Features to Classify Strokes in Interactive Sketches. Advances in Mechanical Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-458153
Modern Language Association (MLA)
Wang, Shuxia…[et al.]. Using Fuzzy Hybrid Features to Classify Strokes in Interactive Sketches. Advances in Mechanical Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-458153
American Medical Association (AMA)
Wang, Shuxia& Wang, Guanfeng& Gao, Mantun& Yu, Suihuai. Using Fuzzy Hybrid Features to Classify Strokes in Interactive Sketches. Advances in Mechanical Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-458153
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-458153