New Algorithms for a Granular Image Recognition System

Wiaderek, Krzysztof; Rutkowska, Danuta; Rakus-Andersson, Elisabeth

doi:10.1007/978-3-319-39384-1_67

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Color Model For Image Processing1

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Cited by 5 publications

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“…For simplicity, in our considerations we ignore the luminance but it can be taken into account in further, more detailed research. The main advantage of using the CIE color model is the fuzzy granulation of the color space, so we can employ the granular recognition system introduced in [17] and developed in [18]. The CIE color model is suitable from artificial intelligence point of view because the intelligent recognition system should imitate the way of human perception of colors.…”

Section: Color Model For Image Processingmentioning

confidence: 99%

Image Retrieval by Use of Linguistic Description in Databases

Wiaderek

Rutkowska

Rakus-Andersson

2018

Artificial Intelligence and Soft Computing

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In this paper, a new method of image retrieval is proposed. This concerns retrieving color digital images from a database that contains a specific linguistic description considered within the theory of fuzzy granulation and computing with words. The linguistic description is generated by use of the CIE chromaticity color model. The image retrieval is performed in different way depending on users' knowledge about the color image. Specific database queries can be formulated for the image retrieval.

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Section: Color Model For Image Processingmentioning

confidence: 99%