The proliferation of content-based image retrieval techniques has highlighted the need to understand the relationship between image clustering based on low-Ievel imagefeatures and...
In order to understand similarity between images, recent research has focused on adaptable searches [9] and fuzzy queries [4]. However, one of the best means for determining simil...
Gregory D. Speegle, Allen M. Gao, Shaowen Hu, Le G...
We describe a subsystem of a content-based image retrieval (CBIR) environment that supports a user in the definition of image similarity. Out of a single image or a set of query i...
Image variability due to changes in pose and illumination can seriously impair object recognition. This paper presents appearance-based methods which, unlike previous appearance-b...
Athinodoros S. Georghiades, Peter N. Belhumeur, Da...
We have assembled a standalone, movable system that can capture long sequences of omnidirectional images (up to 1,500 images at 6.7 Hz and a resolution of 1140 × 1030). The goal ...
We are building a biomedical information resource consisting of digitized x-ray images and associated textual data from national health surveys. This resource, the Web-based Medic...
Abstract. Thanks to the recent explosive progress of WWW (WorldWide Web), we can easily access a large number of images from WWW. There are, however, no established methods to make...
Feature extraction and knowledge discovery from a large amount of image data such as remote sensing images have become highly required recent years. In this study, a framework for ...
— This paper presents a new method for creating a single panoramic image of a long bone from several individual fluoroscopic X-ray images. Panoramic images are useful preoperati...
This paper describes how animat-based “food foraging” techniques may be applied to the design of low-level image processing algorithms. First, we show how we implemented the fo...
Enzo Bolis, Christian Zerbi, Pierre Collet, Jean L...