Color Texture Image Retrieval Based on Local Extrema Features and Riemannian Distance

A novel efficient method for content-based image retrieval (CBIR) is developed in this paper using both texture and color features. Our motivation is to represent and characterize an input image by a set of local descriptors extracted from characteristic points (i.e., keypoints) within the image. Th...

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Bibliografiska uppgifter
Huvudupphovsmän: Minh-Tan Pham, Grégoire Mercier, Lionel Bombrun
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2017-10-01
Serie:Journal of Imaging
Ämnen:
content-based image retrieval (CBIR)
pointwise approach
local extrema features
color textures
Riemannian distance (RD)
Länkar:https://www.mdpi.com/2313-433X/3/4/43
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