0000000000080989
AUTHOR
Di Gesù V.
PICTORIAL-C LANGUAGE FOR THE HERMIA-MACHINE
The design and implementation of algorithms on multi-processors machines is hard. The paper describes the general features of the Pictorial C Language (PICL) that is oriented to image analysis. Its integration in the software environment of the HERMIA machine, and the handling of the related interconnecting network topology is also given.
HERMIA - GENERAL DESCRIPTION
Pictorial information retrieval with uncertain knowledge
In the paper an integrated pictorial database is described. The design of the data management requires many efforts to preserve consistency and integrity. The retrieval operations are designed to support a uniform view of heterogeneous information including uncertain ones; in this last case, non-standard techniques have to be developed. Applications to astronomical images and an outline of the implementation status are given.
HERMIA: An Heterogeneous and Reconfigurable Machine for Image Analysis
In this paper is described the general architecture of an Heterogeneous and Reconfigurable Machine for Image Analysis (HERMIA); the first prototype of the system has been developed at the University of Palermo. Conventional hardware has been used in order to emulate the machine and evaluate the system performance Preliminary results are presented and discussed.
An Integrated Method for Image Retrieval
This paper presents an information fusion method for image retrieval; the retrieval strategy is based on statistical and geometrical features extracted from sub-images. Our goal is to find a set of best similar images related to a prototype image; this goal may be obtained according to image content rather than symbolic attributes. MRI (Magnetic Resonance Imaging) images and astronomical images have been adopted to test the method. Main steps of the procedure to retrieve images are: (l) Segmentation, (2) Matching, and (3) Decision. The first step involves four clusters co-operating segmentation algorithms; in the matching step, a sets of candidate similar images is provided; finally an info…