Robust Character Image Retrieval Method Using Bipartite Matching and Pseudo-bipartite Matching
AISA '02 Proceedings of the First International Workshop on Advanced Internet Services and Applications
Query by image and video content: a colored-based stochastic model approach
Data & Knowledge Engineering
Retrieving images in fuzzy object-relational databases using dominant color descriptors
Fuzzy Sets and Systems
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This paper presents a new method of retrieving images from an image database. We combine both color and spatial features of a picture to index and measure the similarity of images. Several color spaces that widely used in computer graphic were discussed and compared for color clustering. In addition, we propose a new automatic indexing scheme of image database according to our clustering method, which could filter the image efficiently. As a technical contribution, a Seed-Filling like algorithm that could extract the shape and spatial relationship feature of image is proposed. In addition, the system is incorporated with a visual interface, which allows the user to specify objects as the spatial specification of pictures. Our experience shows that the system is able to retrieve image information efficiently by proposed color-spatial approach.