Temu Kembali Citra Busana Muslimah Berdasarkan Bentuk Menggunakan Curvature Scale Space (CSS)

Hayatun Maghfirah, Fitri Arnia, Khairul Munadi


Nowadays in Indonesia, Islamic woman's clothing has been popular and follows the latest trend. Clothing with various color, texture, and shape are available. Furthermore, the online clothing trading system is becoming more attractive, which facilitates the users the apparel images through the websites. These images can be retrieved by querying a text to the retrieval system. However, the users face difficulties in describing the clothes precisely. Thus, a retrieval method based on content, which is known as content-based image retrieval (CBIR), is developed. Here, the content is represented by color, texture, and shape. This paper aims to present and discuss an application of Curvature Scale Space (CSS) as a shape feature for Islamic woman's clothing retrieval system. The performance of retrieval results of three clothing categories is analyzed: blouse-pant, long dress, and tunic, and used different feature length. The simulations run with as many as 300 images from the three categories, 100 images from each. Performance is measured in recall and precision. The results are compared by applying another shape feature; that is the histogram of gradient (HOG). The blouse-pant group achieves the highest performance, followed by tunic and long dress categories. The different feature length affects the retrieval performance; the longer the features, the lower recall and precision values. The feature of length 4 achieves the highest performance. The CSS is applied as the feature in CBIR of Islamic clothing, results in higher performance than the HOG.

Full Text:



Y.A. Aslandogan dan C.T. Yu, “Techniques and Systems for Image and Video Retrieval”, IEEE Transactions on Knowledge and Data Engineering, vol.11, no.1, pp. 56-63, Feb, 1999.

F. Mokhtarian, S. Abbasi dan J. Kittler, “Robust and Ecient Shape Indexing through Curvature Scale Space”, In Proceedings of British Machine Vision Conference (BMVC), Sep, 1996.

S. Abbasi, F. Mokhtarian dan J. Kittler, “Curvature Scale Space image in shape similarity retrieval”, Journal Multimedia Systems, vol. 7, no.6, pp. 467 – 476, Nov. 1999.

D. Jamkhandikar dan V.D. Mytri, “CSS Based Trademark Retrieval System”, In Electronic Systems, Signal Processing and Computing Technologies (ICESC), Jan. 2014.

S. Liu, et.al., “Street-to-shop: Cross Scenario Clothing Retrieval via Parts Alignment and Auxiliary Set”, Proceedings of the 20th ACM international conference on Multimedia, pp. 1335-1336, Nov. 2012.

K. Kawinakrathiti dan S. Phimoltares, “A Comparative Study of CBIR Descriptors on Innovative Application of Fashion Image”, In Digital Information and Communication Technology and it's Applications (DICTAP), May. 2014.

C.M. Huang, S. Chen, et al, “A Sparse-Coding Based Approach to Clothing Image Retrieval”, In Intelligent Signal Processing and Communications Systems (ISPACS), Nov. 2012.

C. H. Tseng, Chin-Hsien, et al, “An Efficient Garment Visual Search Based on Shape Context”, Journal WSEAS Transactions on Computers, vol. 8, no. 7, pp. 1195-1204, Jul. 2009.

J.-J. Tsay, et al, “Visual Clothing Search by Shape and Style”, Journal Information Technology, vol.13, no. 6, pp.1001-1013, 2014.

Thomson Reuters and D. Standard, “Global Islamic,” 2015.

K. Durga Sreenivas, et.al., “Contour Aproximation of Image Revognition by using Curvature Scale-space and Invariant Moment-Based Method”, International Journal of Advances in Engineering & Technology, vol.7, No. 1, pp. 359-371, Mar. 2014.

P.Rajashekar Reddy, V.Amarnadh dan M. Bhaskar, “Evaluation of Stopping Criterion in Contour Tracing Algorithms”, Journal Computer Science and Information Technologies (CSIT), vol.3, no. 3, pp. 3888-3894, Jan. 2012.

D. Zhang dan G. Lu, “Evaluation of MPEG-7 Shape Descriptors Against Other Shape Descriptors”, Journal Multimedia Systems, vol. 9, no.1, pp. 15-30, Jul. 2003.

W. Bret, “An Exploration of MPEG-7 Shape Descriptors”, Thesis, Rochester Institute of Technology, New York, 2003.

G. Çiftçi, “Shape Analysis Using Contour-Based and Region-Based Approaches”, Disertasi, Middle East Technical University, 2003.

DOI: http://dx.doi.org/10.22146/jnteti.v6i1.297


  • There are currently no refbacks.

Copyright (c) 2017 Jurnal Nasional Teknik Elektro dan Teknologi Informasi (JNTETI)



Tim Redaksi JNTETI

Jurusan Teknik Elektro dan Teknologi Informasi
Fakultas Teknik Universitas Gadjah Mada
Jl. Grafika No. 2 Kampus UGM Yogyakarta

Telp. +62 0274 552305

Email :


JNTETI indexed by :



 JNTETI Visitor :

Flag Counter

JNTETI Visitor




Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.