Fuzzy Neighbor Voting for Automatic Image Annotation
عنوان مقاله: Fuzzy Neighbor Voting for Automatic Image Annotation
شناسه ملی مقاله: JR_JECEI-4-1_001
منتشر شده در شماره 1 دوره 4 فصل Autumn در سال 1395
شناسه ملی مقاله: JR_JECEI-4-1_001
منتشر شده در شماره 1 دوره 4 فصل Autumn در سال 1395
مشخصات نویسندگان مقاله:
Vafa Maihami - Department of Electrical and Computer Engineering, Semnan University, Semnan, Iran
Farzin Yaghmaee - Department of Electrical and Computer Engineering, Semnan University, Semnan, Iran
خلاصه مقاله:
Vafa Maihami - Department of Electrical and Computer Engineering, Semnan University, Semnan, Iran
Farzin Yaghmaee - Department of Electrical and Computer Engineering, Semnan University, Semnan, Iran
With quick development of digital images and the availability of imaging tools, massive amounts of images are created. Therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image processing. Automatic image annotation (AIA) or refers to attaching words, keywords or comments to an image or to a selected part of it. In this paper, we propose a novel image annotationalgorithm based on neighbor voting which uses fuzzy system. The performance of the model depends on selecting the right neighbors and a fuzzy system with the right combination of features it offers.Experimental results on Corel5k and IAPR TC12 benchmark annotated datasets, demonstrate that using the proposed method leads to good performance.
کلمات کلیدی: Automatic image,Annotation,Fuzzy system,Image retrieval,Feature extraction
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/685811/