Subset Selection for Landmark Modern and Historic Images
نویسندگان
چکیده
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.
منابع مشابه
Image Subset Selection Using Gabor Filters and Neural Networks
An automatic method for the selection of subsets of images, both modern and historic, out of a set of landmark large images collected from the Internet is presented in this paper. This selection depends on the extraction of dominant features using Gabor filtering. Features are selected carefully from a preliminary image set and fed into a neural network as a training data. The method collects a...
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