Search results for key=MoS2013b : 1 match found.

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  • @inproceedings{MoS2013b,
    	vgclass =	{refpap},
    	author =	{Nabeel Mohammed and Squire, David McG.},
    	title =	{Efficient and Accurate Independent Component Filter-based
    	Features for Texture Similarity},
    	booktitle =	{Proceedings of the 20th IEEE International Conference on Image Processing (ICIP)},
    	address =	{Melbourne, Australia},
    	pages =	{2887--2891},
    	month =	{September~15--18},
    	year =	{2013},
    	doi =	{},
    	abstract =	{This paper evaluates the accuracy and efficiency of
    	collection-specific texture features for Content-Based Image Retrieval.
    	Independent Component Analysis is used to extract Independent Component
    	Filters (ICF)  from an image set. As these ICF are learned from the
    	image set, the hypothesis is that they should provide texture features
    	that are more effective than those extracted using generic filter
    	banks. We describe a method for extracting candidate ICF from an image
    	set, and choosing a representative subset from them. These are then
    	used to extract image features. A simple CBIR system has been developed
    	to evaluate the performance of these features on two standard texture
    	image collections,  compared with features extracted using multiple
    	banks of Gabor filters. The results indicate that ICF-based features
    	perform better than Gabor-based features, even when a much smaller
    	number of ICF features is used than Gabor features. The ICF features
    	are thus more accurate, and more efficient.},