THE IMAGE RETRIEVAL OBJECT GANESHA IMAGE USING INVARIANT MOMENT METHOD
Image Retrieval, EDGE DETECTION, EXTRACTION FEATURES
DOI:
https://doi.org/10.28961/kursor.v9i2.98Keywords:
The Statue of Arca Ganesha, Image Retrieval, Moment Invariant, Roberts Edge Detection, ManhattanAbstract
In the findings of the statue of Ganesha in Trowulan Mojokerto area is no longer intact, because the statue of Ganesha is found to have been on the surface of soil or underground, so the archaeologist is very difficult to categorize the findings. This research proposes to overcome the above problems it is necessary to the Image Retrieval system (image retrieval) that can provide information about the results of the discovery of such historic objects. For the image taken as Image Retrieval as an example of research trials is the Ganesha Arca. From the Ganesha Statue is searched for feature extraction value by using Moment Invariant method, after which to get the result of image retrieval using Manhattan method. Image Retrieval information system work is image of Ganesa Arca in pre-processing with size 200x260 pixel BMP, then image in edge detection using Roberts method and extraction of Moment Invariant feature and inserted into database as data traning. For data testing the same process with data traning so searched the closest distance using Manhattan method. From the results of 15 image testing statues Ganesha level to the accuracy of the true states there is 62% and stated wrong 38%. Research can be further developed using various methods to improve image retrieval accuracy
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References
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Susanto A Abdul Kadir, Teori dan Aplikasi Pegolahan Citra. Yogyakarta: Yogyakarta, 2013.
K.S.Ravichandran, B. Santhi P.A.Hemalatha, "Query By Image Content using Discrete Cosine Transform," International Journal of Engineering and Technology, vol. V, no. 2, pp. 862-868, April-May 2013.
Priyo Sidik Sasongko, Helmie Arif Wibawa Sukmawati Nur Endah, "Content Based Image Retrieval Using Expression Sentivity By Fuzzy Inference System," Jurnal Ilmiah Kursor, vol. 8, no. 0216-0544, pp. 21-32, July 2015.
A. Amanatiadis, A. Gasteratos, S.A. Chatzichristofis E.G. Karakasis, "Image Moment Invariants as Local Features for Content Based Image Retrieval using The Bag-of-visual-Words Model," Journal Elsevier, pp. 1-10, Jahuary 2015.
Malin Premaratne Prashan Premaratne, "Image Matching using Moment Invariants," Neurocomputing, vol. 137, pp. 65-70, February 2014.
Zhang. D. (2002) Image Retrieval Based Shape. Unpublished Dissertation.
Bayram Akdemir Saban Ozturk, "Comparison of Edge Detection Algortithma for Tekstur Analysis on Glass Production," Procedia-Social and Behavioral Sciences, vol. 195, pp. 2675-2682, 2015.
Z., Vasilic, S. & Hocenski V Honcenski, "Improved Canny edge dectector in cremaic tiles defect detection," in IECON 2006-32nd Annual Conference on. IEEE, 2006.
M & Clausi, D Ali, "Using the Canny edge detector for festure extraction and enhancement of remote sensing images," Geoscience and Remote Sensing Symposium, vol. 5, no. 01, 2001.
S.J.H., & Siddiqui, A Pirzada, "Analysis of edge detection algorithms for feature extraction in satellite images," in Space Science and Communication (IconSpace), IEEE international Conference on IEEE, 2013.
C. & Sheng, C. Bao, "A parameterized logarotmic image processing method based on laplacian of gaussian filtering for lung nodules enhancement in chest radiographs," in Instrumentation and Measurement Sensor Network and Automation (IMSNA), 2nd International symposium on IEEE, 2013.
L.G Roberts, Machine Perception of Three-Dimensional. Diss. Massachusetts: Massachusetts Institute of Technology, 1963.
Juan Peng, Junliang Dong, Fany Kong Luhong Diao, "Moment Invariants Under Similarity Transformation," The Journal of The Pattern Recognition, May 2015.
And Kontroumbas. K Theodoris. S, Pattern Recognition 3rd, San diego: Academic Press, Ed. San Diego, 2006.
Arif Muntasa, Pengenalan Pola, Aplikasi Pengenalan Wajah, Analisis Tekstur Obyek, Pengenalan Plat Nomer Kendaraan, dan Pembulu Darah, Graha Ilmu, Ed. Yogyakarta: Edisi 1 Penerbit Graha Ilmu, 2015.
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