@inproceedings{39a3a7171af74a88a50a106ab71f9355,
title = "Geometrical versus non-geometrical image categorization using horizontal and vertical color features",
abstract = "Nowadays, with the development of high quality graphical softwares, almost every presentation, in addition to text, contains some kind of images too. According to the presentation needs, different kinds of images are used by the presenters but different kinds of images needs different type of treatments which evolve the image categorization research. In our work we try to categorize images into two broad groups as Geometrical and Non-geometrical. An important characteristic of the proposed model is that specific matching techniques, suitable for a particular domain, can be developed and easily adopted to a system which will reduce the search domain and increase the accuracy in similarity matching. A classifier has been developed by using novel features. These features are devised based on color projection and used to differentiate geometrical images from ordinary images.",
keywords = "Classifier, Color, Documents, Geometrical, Image features, Images",
author = "Hassan, \{Mohammad M.\} and Tarek Helmy and Muhammad Sarfraz",
year = "2008",
doi = "10.1109/GMAI.2008.20",
language = "English",
isbn = "9780769532707",
series = "3rd International Conference on Geometric Modeling and Imaging: Modern Techniques and Applications, GMAI",
pages = "102--107",
booktitle = "3rd International Conference on Geometric Modeling and Imaging",
}