نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشکده علوم، دانشگاه علم و فناوری مازندران، بهشهر، ایران
2 موسسه آموزش عالی شاهرود، شاهرود، ایران
3 دانشکده مهندسی کامپیوتر و فناوری اطلاعات، دانشگاه صنعتی شاهرود، شاهرود، ایران
چکیده
کلیدواژه‌ها
عنوان مقاله [English]
نویسندگان [English]
Due to the progress of the digital image world and increasing numbers, preparing a system for image retrieval is essential. A content-based image retrieval system should find similar images to the image search by a user. In this paper, a novel content-based image retrieval system is proposed. Considering the importance of texture in an image, we introduce a new feature as the histogram of the texture difference in the equal edge orientation. Then, the expressed features are extracted from training images in the proposed system. Then these features are learned using a support vector machine. The proposed system is examined using the standard WANG database. The results show the efficiency of the proposed system in retrieving images compared to similar methods.
کلیدواژه‌ها [English]
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