Please use this identifier to cite or link to this item:
http://repository.ipb.ac.id/handle/123456789/60011
Title: | Algoritme Genetika untuk Optimasi Pembobotan Fitur pada Temu Kembali Citra |
Authors: | Herdiyeni,Yeni Pratama, Ferry |
Keywords: | Bogor Agricultural University (IPB) feature weight assignment. genetic algorithm Content based image retrieval |
Issue Date: | 2009 |
Abstract: | Content based image retrieval is developed to retrieve image based on color, shape, and texture feature. One of the problems to be solved in content based image retrieval is how to combine these features to get the optimum retrieval result. Combining multiple features in image retrieval process can be implemented using feature weight assignment. One of feature weight assignment methods is each feature weight is assigned by hand. However this approach is subjective and lack of theory foundation. In this research an automatic feature weight assignment approach based on genetic algorithm is proposed. Genetic algorithm is used for optimizing feature weight in order to get the optimum retrieval result. Image features is used in this research are color, shape, and texture feature. In genetic algorithm, a chromosom represented by features weight. These chromosomes get into genetic operator process such as selection, crossover, and mutation until maximum generation is reached. Result of genetic algorithm process get an optimum feature weight. It used for image retrieval process. The retrieval evaluation used recall precision graphic. The experiment showed feature weight assignment based on genetic algorithm can improve average precision in image retrieval. |
URI: | http://repository.ipb.ac.id/handle/123456789/60011 |
Appears in Collections: | UT - Computer Science |
Files in This Item:
File | Description | Size | Format | |
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Abstract.pdf Restricted Access | Abstract | 280.21 kB | Adobe PDF | View/Open |
BAB I Pendahuluan.pdf Restricted Access | BAB I | 284.04 kB | Adobe PDF | View/Open |
BAB II Tinjauan Pustaka.pdf Restricted Access | BAB II | 295.57 kB | Adobe PDF | View/Open |
BAB III Metode Penelitian.pdf Restricted Access | BAB III | 366.9 kB | Adobe PDF | View/Open |
BAB IV Hasil dan Pembahasan.pdf Restricted Access | BAB IV | 534.35 kB | Adobe PDF | View/Open |
BAB V Kesimpulan dan Saran.pdf Restricted Access | BAB V | 363.97 kB | Adobe PDF | View/Open |
Cover.pdf Restricted Access | Cover | 298.91 kB | Adobe PDF | View/Open |
Daftar Pustaka.pdf Restricted Access | Daftar Pustaka | 280.79 kB | Adobe PDF | View/Open |
G09fpr.pdf Restricted Access | full text | 1.15 MB | Adobe PDF | View/Open |
Lampiran.pdf Restricted Access | Lampiran | 711.86 kB | Adobe PDF | View/Open |
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