Subset Selection for Landmark Modern and Historic Images
Heider K. Ali, Anthony D. Whitehead · 2015
An automatic mechanism for the selection of image subset of modern and historic images out of a landmark large image set collected from the internet is designed in this paper.This selection depends on the extraction of dominant features using Gabor filtering.These features are selected carefully from a preliminary image set and fed into a neural network as a training set.The mechanism collects a raw large set of landmark images containing modern and historic images and non-landmark images as well, process these images, and finally classify them as landmark and non-landmark images.The classification performance highly depends on the number of candidate features of the landmark.