Towards a multimedia model-based image retrieval system using fuzzy logic
Hiroshi Iwamoto, Anca Ralescu · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1993
This paper describes our current research on the subject of image retrieval based on a model of the image data. The work focuses on retrieving the image of a natural object from a collection of like images; the application considered is that of retrieval from a data base of face photographs. The difficulty arises mainly from the fact that precise, geometric models of natural images are not necessarily available. The work described builds on previous work on an image retrieval system based on linguistic modeling of image data using fuzzy sets: such a model is a collection of statements `X is F,' where X refers to a region/component of the object and F refers to a fuzzy set, such as `big,' `small,' `long,' which describes the size of X. In this paper we consider the situation when the model of the image is expressed in a graphic form (sketch). The motivation for considering this subject arises, among others, from: (1) the fact that not all image characteristics (such as a wrinkle for example) can be described linguistically, (2) linguistic models tend to be subjective, and (3) a linguistic model may not be available. Retrieval based on mixed queries, linguistic and graphic, is considered. Fuzzy logic is used to express the linguistic model of the image data, and for reasoning.