Abstract
As the amount of digital image continues to grow in usage, users are experiencing increased difficulty in finding specific images in the image collection. This paper proposes a novel image searching scheme that extracts the image feature using combination of ASURF (Advanced Speed-Up Robust Feature) and DCD (Dominant Color Descriptor). The system for mobile image searches runs in real-time on iPhone, and can be easily used to find a natural color image. To evaluate the proposed scheme, we assessed the performance of simulation in term of average precision and F-score on two image database, which is commonly used in the field of image retrieval. The experimental results revealed that the proposed algorithm exhibited a significant improvement of over 14.4 % in retrieval effectiveness, compared to open source OpenSURF. The main contribution of this paper is that the proposed approach achieves high accuracy and stability by using ASURF and DCD in searching for natural image on mobile platform.
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