JUCS - Journal of Universal Computer Science 12(9): 1240-1253, doi: 10.3217/jucs-012-09-1240
Applications of Neighborhood Sequence in Image Processing and Database Retrieval
expand article infoAndrás Hajdu‡, János Kormos§, Tamás Tóth§, Krisztián Veréb§
‡ University of Debrecen,, Hungary§ University of Debrecen, Hungary

Corresponding author: András Hajdu ( hajdua@inf.unideb.hu )

© András Hajdu, János Kormos, Tamás Tóth, Krisztián Veréb.
This article is freely available under the J.UCS Open Content License.
Citation: Hajdu A, Kormos J, Tóth T, Veréb K (2006) Applications of Neighborhood Sequence in Image Processing and Database Retrieval. JUCS - Journal of Universal Computer Science 12(9): 1240-1253. https://doi.org/10.3217/jucs-012-09-1240
Open Access
Abstract
In this paper we show how the distance functions generated by neighborhood sequences provides flexibility in image processing algorithms and image database retrieval. Accordingly, we present methods for indexing and segmenting color images, where we use digital distance functions generated by neighborhood sequences to measure distance between colors. Moreover, we explain the usability of neighborhood sequences within the field of image database retrieval, to find similar images from a database for a given query image. Our approach considers special distance functions to measure the distance between feature vectors extracted from the images, which allows more flexible queries for the users.
Keywords
database retrieval, image database, image processing, segmentation