Image set representation and classification is an important problem in computer vision and pattern recognition area. It has been widely used in many computer vision applications. In this paper, a new image set represe...
详细信息
Image set representation and classification is an important problem in computer vision and pattern recognition area. It has been widely used in many computer vision applications. In this paper, a new image set representation and classification method has been proposed. The main contributions of this paper are twofold: (1) a new image set representation model, called attributed covariate-relationgraph (ACRG), has been proposed for image set representation and modeling. ACRG aims to represent image set with an attributedgraph model which involves both image features and their spatial structure simultaneously. (2) A new graph data based sparse representation and classification method, called graph Sparse Representation Classification (GSRC) has been proposed to achieve ACRG classification. Experimental results on several datasets demonstrate the benefits of the proposed ACRG representation and GSRC classification.
Content based image, retrieval using spatial image content (i.e. using multiple regions and their spatial relationships) is stilt all open problem which has received considerable attention in literature. In this, pape...
详细信息
ISBN:
(纸本)9783540881841
Content based image, retrieval using spatial image content (i.e. using multiple regions and their spatial relationships) is stilt all open problem which has received considerable attention in literature. In this, paper we introduce a new representation of image based on the most general spatial image content representation that is attributed relation graphs (ARG) representation and also a new method of image, indexation. Like all CBIR systems, the one proposed here has two components: a segmentation component and a matching component, using a novel inexact graph matching algorithm. We tested our work in lettrines image but its also valid in general image.
暂无评论