Content-Based Tile Retrieval System
نویسندگان
چکیده
A content-based tile retrieval system based on the underlying multispectral Markov random field representation is introduced. Single tiles are represented by our approved textural features derived from especially efficient Markovian statistics and supplemented with Local Binary Patterns (LBP) features representing occasional tile inhomogeneities. Markovian features are on top of that also invariant to illumination colour and robust to illumination direction variations, therefore an arbitrary illuminated tiles do not negatively influence the retrieval result. The presented computer-aided tile consulting system retrieves tiles from recent tile production digital catalogues, so that the retrieved tiles have as similar pattern and/or colours to a query tile as possible. The system is verified on a large commercial tile database in a psychovisual experiment.
منابع مشابه
Content-Based Sub-Image Retrieval with Relevance Feedback
The typical content-based image retrieval problem is to find images within a database that are similar to a given query image. This paper presents a solution to a different problem, namely that of content based sub-image retrieval, i.e., finding images from a database that contains another image. Note that this is different from finding a region in a (segmented) image that is similar to another...
متن کاملImage retrieval using the combination of text-based and content-based algorithms
Image retrieval is an important research field which has received great attention in the last decades. In this paper, we present an approach for the image retrieval based on the combination of text-based and content-based features. For text-based features, keywords and for content-based features, color and texture features have been used. Query in this system contains some keywords and an input...
متن کاملSemiautomatic Image Retrieval Using the High Level Semantic Labels
Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...
متن کاملSaliency-Based Content-Aware Image Mosaics
In this paper, we propose a novel content-aware image mosaic approach based on image saliency. The image saliency is used in the whole process of creating an image mosaic with variable size tiles, while a novel energy map is proposed by combining Neighborhood Inhomogeneity Factor and Graph-Based Visual Saliency. The target image is divided into small tiles with variable sizes based on the energ...
متن کاملImage Retrieval: Feature Primitives, Feature Representation, and Relevance Feedback
In this paper we review the feature selection and representation techniques in CBIR systems, and propose a unified feature representation paradigm. We revise our previously proposed water-filling edge features with newly proposed primitives and present them using this unified feature formation paradigm. Multi-scale feature formation is proposed to support cross-resolution image matching. Sub-im...
متن کامل