Image retrieval using the combination of text-based and content-based algorithms | ||
| Journal of AI and Data Mining | ||
| مقاله 9، دوره 1، شماره 1، خرداد 2013، صفحه 27-34 اصل مقاله (746.09 K) | ||
| نوع مقاله: Original/Review Paper | ||
| شناسه دیجیتال (DOI): 10.22044/jadm.2013.113 | ||
| نویسندگان | ||
| Hanieh Mohamadi1؛ Asadollah Shahbahrami* 2؛ Javad Akbari1 | ||
| 1Islamic Azad University of Arak | ||
| 2University of Guilan | ||
| چکیده | ||
| Image retrieval is an important research field which has received great attention in the last decades. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywords and for content-based features, color and texture features have been used. Query in this system contains some keywords and an input image. At first, the images are retrieved based on the input keywords. Then, visual features are extracted to retrieve ideal output images. For extraction of color features we have used color moments and for texture we have used color co-occurrence matrix. The COREL image database have been used for our experimental results. The experimental results show that the performance of the combination of both text- and content- based features is much higher than each of them which is applied separately. | ||
| کلیدواژهها | ||
| TEXT-BASED IMAGE RETRIEVAL؛ CONTENT-BASED IMAGE RETRIEVAL؛ COLOR MOMENTS؛ COLOR CO-OCCURRENCE MATRIX | ||
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آمار تعداد مشاهده مقاله: 3,855 تعداد دریافت فایل اصل مقاله: 3,449 |
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