An effective image classification method with the fusion of invariant feature and a new color descriptor
Leila Mansourian, Muhamad Taufik Abdullah, Lili Nurliyana Abdullah, Azreen Azman, Mas Rina Mustaffa · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2017
Pyramid Histogram of Words (PHOW), combined Bag of Visual Words (BoVW) with the spatial pyramid matching (SPM) in order to add location information to extracted features. However, different PHOW extracted from various color spaces, and they did not extract color information individually, that means they discard color information, which is an important characteristic of any image that is motivated by human vision. This article, concatenated PHOW Multi-Scale Dense Scale Invariant Feature Transform (MSDSIFT) histogram and a proposed Color histogram to improve the performance of existing image classification algorithms. Performance evaluation on several datasets proves that the new approach outperforms other existing, state-of-the-art methods.