DocumentCode :
2174369
Title :
Image Retrieval of Songket Motifs Using Simple Shape Descriptors
Author :
Jamil, Nursuriati ; Bakar, Z.A. ; Sembok, Tengku Mohd Tengku
Author_Institution :
Univ. Teknologi MARA, Shah Alam
fYear :
1993
fDate :
16-18 Aug. 1993
Firstpage :
171
Lastpage :
176
Abstract :
Songket is a traditional handwoven cloth of the Malays and its beauty lies on the design of the songket motifs intricately woven on the cloth. Even though color is a feature of the motif, shape is more important in determining the type of the motifs. This paper describes and tests the efficiency of retrieving songket motifs images using different combination of five geometric shape descriptors. Even though there are many existing approaches of shape-based image retrievals, the goal of this paper is to take advantage of the faster calculations of the geometric shape descriptors to retrieve the images. Fifty selected songket motifs are used as sample queries in this paper. Similarities of these images are measured using Euclidean distance and performance of the retrieval effectiveness is evaluated using recall and precision rate. Results of the experiment showed that geometric shape descriptors are effective in retrieving the songket motifs
Keywords :
computational geometry; image retrieval; Euclidean distance; geometric shape descriptor; image retrieval; songket motifs; Euclidean distance; Gold; Image retrieval; Noise robustness; Process design; Shape; Silver; Testing; Weaving; Yarn;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geometric Modeling and Imaging--New Trends, 2006
Conference_Location :
London, England
Print_ISBN :
0-7695-2604-7
Type :
conf
DOI :
10.1109/GMAI.2006.29
Filename :
1648762
Link To Document :
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