Evaluation of Colour Recognition Algorithms with a Palette Designed for Applications which Aid People with Visual Impairment | Zendy

Bartosz Papis | Zendy

Open Access

Evaluation of Colour Recognition Algorithms with a Palette Designed for Applications which Aid People with Visual Impairment

Author(s) -

Bartosz Papis

Publication year - 2014

Publication title -

international journal of image graphics and signal processing

Language(s) - English

Resource type - Journals

eISSN - 2074-9082

pISSN - 2074-9074

DOI - 10.5815/ijigsp.2014.12.01

Subject(s) - computer science , palette (painting) , artificial intelligence , support vector machine , classifier (uml) , k nearest neighbors algorithm , pattern recognition (psychology) , machine learning , operating system

This paper presents the evaluation of three machine learning algorithms applied to colour recognition. The “primary” colour palette is defined in accordance with the results from social sciences. Decision Trees, Support Vector Machines and k-Nearest Neighbours classifiers are being tested on various data sets created for this purpose. One of the distance measures for the k-Nearest Neighbour classifier considered is DeltaE2000 - the standard colour difference formula, designed in conformance with human perception. Additionally, we compare these algorithms to various colour recognition applications available

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