A. Monadjemi, B.T. Thomas, and M. Mirmehdi (UK)
Image Classiﬁcation, High Resolution images, High Frequency Analysis, Multiple classiﬁers.
We examine the use of high frequency features in high
resolution images and demonstrate how they can increase
texture classiﬁcation accuracy when used in combination
with lower frequency features. We used eight features,
four low frequency and four high frequency, derived from
patches of 4032 2688images. Furthermore, we experiment with both single and multiple classiﬁers to illustrate the effectiveness of such a combination. Outcomes
of classiﬁcation tests on outdoor scene patches are presented and discussed.