کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
392371 664765 2014 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Shape annotation by semi-supervised fuzzy clustering
ترجمه فارسی عنوان
حاشیه نویسی شکل با خوشه بندی فازی نیمه نظارت شده
کلمات کلیدی
حاشیه نویسی شکل فازی، خوشه بندی فازی شکل، حاشیه نویسی تصویر، خوشه بندی نیمه نظارت، نمایندگی شکل
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

Image annotation is an important and challenging task when managing large image collections. In this paper, a fuzzy shape annotation approach for semi-automatic image annotation is presented. A fuzzy clustering process guided by partial supervision is applied to shapes represented by Fourier descriptors in order to derive a set of shape prototypes representative of a number of semantic categories. Next, prototypes are manually annotated by attaching textual labels related to semantic categories. Based on the labeled proto-types, a new shape is automatically labeled by associating a fuzzy set that provides membership degrees of the shape to all semantic categories. The proposed annotation approach provides an innovative indexing method for shape-based image retrieval. Indeed, shape prototypes represent an inter-mediate indexing level that allows a faster retrieval process since a query is matched against prototypes, instead of the whole shape database, resulting in a speed up of the retrieval. The proposed approach is tested on synthetic and real-word images in order to show its suitability.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 289, 24 December 2014, Pages 148–161
نویسندگان
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