Automatic Image Annotation Using a Fuzzy System Based On Color Features
Publish place: 14th Iranian Conference on Fuzzy Systems
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICFUZZYS14_080
تاریخ نمایه سازی: 21 اردیبهشت 1397
Abstract:
With quick development in 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 the most challenging fields in image processing. Automatic image annotation (AIA) is a process of producing words for a digital image based on the image‘s content. In this paper, we proposed a novel image annotation algorithm using color features in a fuzzy system. For this purpose we used three popular color features including color histogram, color moment, and color Auto-correlogram as a fuzzy system inputs and similarity measure as an output. Experimental results on Corel5k benchmark annotated dataset, demonstrates that using proposed method achieves good performance.
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Authors
Vafa Maihami
Ph. D. student, Department of Electrical & Computer Eng., Semnan University, Semnan, Iran,
Farzin Yaghmaee
Academic member, Department of Electrical & Computer Eng., Semnan University, Semnan, Iran,