The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of CIRCUITS, SYSTEMS and SIGNAL PROCESSING
Transactions ID Number: 19-242
Full Name: Chi-Man Pun
Position: Associate Professor
Age: ON
Sex: Male
Address: Department of Computer and Information Science,University of Macau, Macau
Country: MACAU S.A.R.
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E-mail address: cmpun@umac.mo
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Title of the Paper: Shape Classification Using Contour Simplification and Tangent Function
Authors as they appear in the Paper: Chi-Man Pun and Cong Lin
Email addresses of all the authors: cmpun@umac.mo
Number of paper pages: 8
Abstract: In this paper we propose a new approach for image classification by simplifying contour of shape and making use of the tangent function as image feature. We firstly extract shapes from a sample image and connecting pixels of its contour. The extracted contour is simplified by our algorithm and converted into tangent function which is regarded as a feature. The tangent function represented a shape is input into classified system and compared with tangent function from existed classes by computing their distance. The input sample image will finally be classified into a class that has minimum distance with it. The experimental results show the proposed method can achieve high accuracy.
Keywords: Shape classification, contour, simplification, tangent function.
EXTENSION of the file: .pdf
Special (Invited) Session: Shape Classification Using Simplification and Tangent Function
Organizer of the Session: 697-472
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