Abstract
In this paper, we develop an indexing scheme for medical images. In general, for a given medical image, there is one object which is clinically important amongst the rest. We name this object the dominant object. Our proposed index is composed of three parts: (1) dominant objects in images are standardized; (2) each image will have its own quadtree constructed which depends on the color composition and the color variation in the image; and (3) an R-tree that supports the retrieval of color images. To demonstrate the effectiveness of the index developed, we use images of skin lesions as the image data. Our initial experiments gives promising results for image retrieval.
Original language | English |
---|---|
Pages (from-to) | 1980-1985 |
Number of pages | 6 |
Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
Volume | 3 |
Publication status | Published - 1 Dec 1995 |
Event | Proceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics. Part 2 (of 5) - Vancouver, BC, Canada Duration: 22 Oct 1995 → 25 Oct 1995 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Hardware and Architecture