Title: Local colour features for image retrieval
Language: English
Authors: Stöttinger, Julian
Qualification level: Diploma
Keywords: Bildererkennung - Farbraum - Bildklassifizierung - Lokale Deskriptoren
Image Retrieval - Interest Points - Local Features - Local Descriptors - Colour Space - Corner Detecion - Object Classification
Advisor: Hanbury, Allan
Issue Date: 2007
Number of Pages: 73
Qualification level: Diploma
Abstract: 
In image retrieval scenarios, many methods use interest point detection at an early stage to find regions in which descriptors are calculated. Finding salient locations in image data is crucial for these tasks. Observing that most current methods use only the luminance information of the images, we investigate the use of colour information in interest point detection. Based on the Harris corner detector, a way to use multi-channel images is explored and different colour spaces are evaluated. To determine the characteristic scale of an interest point, a new colour scale selection method is presented. We show that using colour information and boosting salient colours results in improved performance in retrieval tasks. Large scale image retrieval experiments are carried out to show the gain in retrieval rates under varying circumstances.
URI: https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-19295
http://hdl.handle.net/20.500.12708/14566
Library ID: AC05034478
Organisation: E183 - Institut für Rechnergestützte Automation (Automatisierungssysteme. Mustererkennung) 
Publication Type: Thesis
Hochschulschrift
Appears in Collections:Thesis

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