Scene Image Classification Using Wavelets and Bag of Words Model
October 19, 2016
2:00 pm - 5:30 pm
Hall C
Track: General
Type: Posters
Level: All
We introduce a new local feature descriptor by exploring the pseudo-Wigner distribution of images and the Local Binary Patterns. It utilizes frequency domain smoothing, bag-of-words model and spatial pyramid representations to improve classification performance for scene images. Experiments with three datasets show that the WLBP outperforms traditional LBP and some other popular descriptors.
Speaker(s)
| , Assistant Professor, Edgewood College
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