A Fuzzy Image Matching Algorithm with Linguistic Spatial Queries
نویسندگان
چکیده
The function for spatial queries has been provided in some image retrieval systems for finding images satisfying given spatial relations. However, images themselves may contain ambiguity or the image processing technologies adopted may extract objects not accurately enough. Processing image queries in a flexible way is thus desired. In this paper, we thus propose a fuzzy image matching algorithm to calculate the fuzzy match degrees of images with linguistic spatial queries. It consists of two main stages. In the first stage, the objects in a linguistic spatial query are first used to filter the images in the image database, thus avoiding some unnecessary checking in the second stage. The fuzzy match degrees between the converted spatial queries and the promising images are then calculated in the second stage by using the fuzzy operations and the membership functions. The proposed algorithm is thus suitable for images with uncertain objects and satisfies users’ linguistic queries in a flexible and efficient way. Key-Words: fuzzy set, fuzzy match, image database, linguistic query, spatial relation, membership functions
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تاریخ انتشار 2003