The Design and Implementation of a Content-based Image Retrieval System using the Texture Pattern and Slope Components of Contour Points
Hyeon-Seop Choe, Cheol-Won Kim, Seongdong Kim, Gi-Ho Choe · The Transactions of the Korea Information Processing Society · 1997
Efficient retrieval of image data is an important research issue in multimedia database. This paper proposes a new approach to a content-based image retrieval which allows queries to be composed of the local texture patterns and the slope components of contour points. The texture patterns extracted from the source image using the graylevel co-occurrence matrix and the slope components of contour points extracted from the binary image are converted into a internal feature representation of reduced dimensionality which preserves the perceptual similarity and those features can be used in creating efficient indexing structures for a content-based image retrieval. Experimental results of the image retrievalare presented to illustrate the usefulness of this approach that demonstrates the precision 82%, the recall 87% and the average rang 3.3 in content-based image data retrieval