SCIL-IMAGE PROJECTS
DEFACTO STANDARD IN THE NETHERLANDS
DEFACTO STANDARD IN THE NETHERLANDS
SCILIMAGE auf MsWindows
SCIL-Image has proven especially effective as a vehicle for research collaborations. Below we present a selection of some of the large-scale projects using SCIL-Image:
Philips Common Viewing
Philips Medical Systems have integrated the ScilImage environment into their 'Common Viewing' toolbox, a common product interface and viewing environment for medical imaging, which serves as a unifed reusable software base for several current and future workstation products of PMS.
As an integrated part of Common Viewing, ScilImage can be used in two ways: as a development environment for new versions of PMS workstation products (allowing experimentation with image processing algorithms and with user interface approaches) and, optionally, as a 'hidden' image processing engine in products.
The ScilImage interface layers have been re-styled by PMS to conform with the Common Viewing look&feel. Although ScilImage and Common Viewing have different image data-structures, a special interface allows transparent functionality of both systems on all images.
SPIN-3DIA
The Dutch national SPIN-3DIA research program aims at stimulating image processing research of three dimensional microscopical images [34]. The research program involves 7 institutes. In the program methods have been designed for the restoration of microscopical images, for the automated registration of subsequently captured images, as well as various methods for 3D-segmentation, for the proper measurement of properties such as length, curvature and methods for the visualization of 3D-data sets. Apart from methodology, also practical applications in the domain of biological microscopy have been solved, all based on ScilImage.
ROCKI
ScilImage has been successfully utilized to serve as a common development platform in the ESPRIT II pro ject 5376 ROCKI: Raster to Ob ject Conversion aided by Knowledge Based Image processing. The main ob jective was to specify and experiment with a common toolkit for the high level interpretation of oce documents and cadastral based maps. To reach this ob jective, techniques have been developed to convert the raster representation of scanned documents into a description of ob jects, their attributes and relationships.
CHIC
ScilImage is effectively being used in ESPRIT III 6765 CHIC: Component Heuristics and Improvements for Copiers. The prime objective of CHIC is to realise a demonstrator to show feasibility of a digital copying device, based upon component oriented image processing techniques. The availability of a digital copying device gives an advantage over the conventional analog copiers as the copying process can separately optimize for text, images and graphics recognized in a document.
PIPE Pathology Image Processing Environment
At the institute of pathology of the Free University of Amsterdam, ScilImage is tailored to function as an image processing environment for microscopical analysis in pathology. Applications include, automated DNA-measurement, tissue epithelium estimation, and recognition of mitosis, for tumor diagnostics.
Model driven image processing
The University of Amsterdam is involved in a national research project concerned with "model driven image processing". Most of the participants (Five universities in The Netherlands) are using ScilImage as a development tool facilitating the exchange of research results. In this pro ject, our group concentrates on building a framework for image understanding and interpretation in medicine, geography and robotics.
Videophone
ScilImage is being used, by the Faculty of Electrical Engineering of the Technical University Delft, in a large-scale interdisciplinary project concerning the development of video-phone technology.
CAGDIS
In the request for the European Community Mobility pro ject 'Computer Analysis for Geometrical Description of Imaged Scenes', ScilImage is proposed as the common platform for interchange and comparison of results by the participating groups from Grenoble (France), Arco Felice (Italy), Linkoping (Sweden), Vienna (Austria) and Amsterdam (The Netherlands).
ScilImage was chosen for the flexibility with which one can customise the package with the latest results, while maintaining the commonality of the standard routines.
Philips Common Viewing
Philips Medical Systems have integrated the ScilImage environment into their 'Common Viewing' toolbox, a common product interface and viewing environment for medical imaging, which serves as a unifed reusable software base for several current and future workstation products of PMS.
As an integrated part of Common Viewing, ScilImage can be used in two ways: as a development environment for new versions of PMS workstation products (allowing experimentation with image processing algorithms and with user interface approaches) and, optionally, as a 'hidden' image processing engine in products.
The ScilImage interface layers have been re-styled by PMS to conform with the Common Viewing look&feel. Although ScilImage and Common Viewing have different image data-structures, a special interface allows transparent functionality of both systems on all images.
SPIN-3DIA
The Dutch national SPIN-3DIA research program aims at stimulating image processing research of three dimensional microscopical images [34]. The research program involves 7 institutes. In the program methods have been designed for the restoration of microscopical images, for the automated registration of subsequently captured images, as well as various methods for 3D-segmentation, for the proper measurement of properties such as length, curvature and methods for the visualization of 3D-data sets. Apart from methodology, also practical applications in the domain of biological microscopy have been solved, all based on ScilImage.
ROCKI
ScilImage has been successfully utilized to serve as a common development platform in the ESPRIT II pro ject 5376 ROCKI: Raster to Ob ject Conversion aided by Knowledge Based Image processing. The main ob jective was to specify and experiment with a common toolkit for the high level interpretation of oce documents and cadastral based maps. To reach this ob jective, techniques have been developed to convert the raster representation of scanned documents into a description of ob jects, their attributes and relationships.
CHIC
ScilImage is effectively being used in ESPRIT III 6765 CHIC: Component Heuristics and Improvements for Copiers. The prime objective of CHIC is to realise a demonstrator to show feasibility of a digital copying device, based upon component oriented image processing techniques. The availability of a digital copying device gives an advantage over the conventional analog copiers as the copying process can separately optimize for text, images and graphics recognized in a document.
PIPE Pathology Image Processing Environment
At the institute of pathology of the Free University of Amsterdam, ScilImage is tailored to function as an image processing environment for microscopical analysis in pathology. Applications include, automated DNA-measurement, tissue epithelium estimation, and recognition of mitosis, for tumor diagnostics.
Model driven image processing
The University of Amsterdam is involved in a national research project concerned with "model driven image processing". Most of the participants (Five universities in The Netherlands) are using ScilImage as a development tool facilitating the exchange of research results. In this pro ject, our group concentrates on building a framework for image understanding and interpretation in medicine, geography and robotics.
Videophone
ScilImage is being used, by the Faculty of Electrical Engineering of the Technical University Delft, in a large-scale interdisciplinary project concerning the development of video-phone technology.
CAGDIS
In the request for the European Community Mobility pro ject 'Computer Analysis for Geometrical Description of Imaged Scenes', ScilImage is proposed as the common platform for interchange and comparison of results by the participating groups from Grenoble (France), Arco Felice (Italy), Linkoping (Sweden), Vienna (Austria) and Amsterdam (The Netherlands).
ScilImage was chosen for the flexibility with which one can customise the package with the latest results, while maintaining the commonality of the standard routines.
COMMERCIAL PRODUCT
For improved support ScilImage (except for the VP layer) has been commercialized by the Center of Pattern Recognition (CBP), a Dutch institute in which the Technical University Delft (TUD), the University of Amsterdam (UvA), and the Dutch Institute for Applied Physics (TNO) participate.