2010 | OriginalPaper | Buchkapitel
Dictionary of Features in a Biologically Inspired Approach to Image Classification
verfasst von : Sepehr Jalali, Joo Hwee Lim, Sim Heng Ong, Jo Yew Tham
Erschienen in: Neural Information Processing. Models and Applications
Verlag: Springer Berlin Heidelberg
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We introduce new methods for creation of a dictionary of features for a biologically inspired model of visual object classification that is shown to handle the recognition of several object categories. We provide a new method for creation of this features dictionary using non-supervised cortex like methods. Different clustering approaches were experimented and improved performance is achieved on image centers which results in real time classification of images by HMAX model.