The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of COMPUTERS
Transactions ID Number: 19-243
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: Image Segmentation Using Discrete Cosine Texture Feature
Authors as they appear in the Paper: Chi-Man Pun and Hong-Min Zhu
Email addresses of all the authors: cmpun@umac.mo
Number of paper pages: 8
Abstract: In this paper we propose a computational efficient approach for image segmentation based on texture analysis, a 2D discrete cosine transform (DCT) is utilized to extract texture features in each image block. We first split the input image into MxN blocks, calculate the distances between neighbor blocks by a set of largest energy signatures from DCT for each block. Then we merge blocks with smallest distances to form larger regions. The process will repeat until we got desired number of regions. Experimental results show that our proposed method outperforms the existing image segmentation method, especially on efficiency aspect.
Keywords: image segmentation, texture analysis, split and merge, 2D discrete cosine transform.
EXTENSION of the file: .pdf
Special (Invited) Session: Textural Image Segmentation Using Discrete Cosine Transform
Organizer of the Session: 101-099
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