As well as undertaking applied and basic research into a range of imaging problems,
the CIPA is also involved in the transfer of computer and machine vision techniques
from the research environment to Irish industry and hospitals. The center
currently consists of a number of key laboratories housed in the Engineering & Research building, namely Vision Systems Engineering [S135],
Quantitative Image Analysis [S136], Medical Image Analysis
[S132], 3D Imaging / Computing Cluster [S129] and Imaging (Acquisition) & Visualization [S134] .
CIPA have also developed and support the Java and Matlab compatible rapid prototyping environment for image
processing and analysis application development.
Key to the continuing growth of the CIPA will be the development of methodologies and techniques
for Computer Aided Detection & Diagnosis, Image Processing and Analysis, Image Sequence Analysis and Image Visualization.
Selected Project Profiles
- Roadis: Removal of Optical Aberrations in Digital Imaging Systems.
- Correction of Lateral Chromatic Aberration through Calibrated Demosaicing of Digital Images
- CTEX: Adaptive colour-texture discriminators for robust image segmentation
- Development of a computational model for the description of the shape, texture and dynamics of facial expression.
- Multi-Resolution Invariant Analysis for Robust Texture Classification
- Calibration of Non-conventional Imaging Systems
- Content Based Image Pose Manipulation
- Unsupervised Segmentation of Natural Images Based on the Adaptive Integration of Colour-Texture Descriptors
- The application of manifold based visual speech units for visual speech recognition
- Accelerated Volumetric Reconstruction From Uncalibrated Camera View
- Modelling and Removal of Distortions in Images
- A Generic Framework for Colour Texture Segmentation
- NeatVision: Rapid Prototyping for Image Processing & Analysis
- VSG Image Processing & Analysis Toolbox (VSG IPA TOOLBOX) for MATLAB
Biomedical Computer Vision (Computer Aided Detection and Diagnosis focusing on translational research)
- CAD (Computer Aided Diagnosis) for Ultrasound Analysis of the Carotid Artery
- Pumping Lymphatic / Vessel Motion Tracking
- Full Body Imaging (MRI)
- Quantitative / Motion Analysis of Cells from Time Lapse Image Sequences
- Automated Deformation Modelling for Cellular Structures
- Automated Segmentation and Classification of Mitochondria from TEM Images
- Cardiac Functionality Imaging (MRI) (3D/4D)
- Computer Aided Diagnosis: Lung/Nodule Detection
- The analysis of three-dimensional facial dysmorphology.
- White Matter Volume assessment in premature infants on MRI at term and 2 years age – Computer Aided Volume Analysis
- Enhanced Computer Assisted Detection of Polyps in CT Colonography
- Automated Flat Polyps Detection
- Electronic Cleansing for CAD-CTC
- Analysis of Cardiac Magnetic Resonance Images
- Computer Aided Diagnosis for CT Colonography CAD-CTC
- Automatic polyp detection using curvature analysis for standard and low-dose CT (Computed Tomography) data
- Efficient Pre- segmentation Filtering In MRCP
- Brain Region Segmentation (MRI)
- OSMIA - Open Source Medical Image Analysis
- 3D modelling for functional analysis of cardiac images (FACI)
Industrial / Machine Vision
- Automatic computer aided detection of reproductive cycle and pregnancy of Bovines from ultrasound images.
- Granite Texture Classification
- Classification of materials through the integration of spectral and spatial features from hyperspectral data
- Inspection Solutions for Grading Painted Slates
- Watermark (Paper) Localisation
- A Real-time Low-cost Vision Sensor for Robotic Bin Picking
- Automated packing of arbitrary shapes
- AOIS- Automated Optical Inspection Systems
- Visually Guided Robotic Mobile Platforms
- 3D Imaging
The core expertise provided by the Vision Systems Group in DCU is in
image acquisition, segmentation, processing, quantitative analysis, classification and associated visualization.
Specifically the group focuses on the issues involved in the automation or
semi automation of image feature segmentation, and its associated quantitative analysis, at both a micro and macro level.
CIPA has hosted visiting international researchers from: NIT Karnataka (India); Universidad de Deusto (Spain); ENSEEIHT (France); Robotiker (Spain); University of Vigo (Spain); University of Western Ontario (Canada); Transilvania University (Romania); University of Tuzla (Bosnia and Herzegovina); Fachhochschule (FH) Mannheim (Mannheim University Of Applied Sciences, Germany); Ecole Nationale Superieure des Techniques Industrielles et des Mines d'ALES (France); Cardiff University (Wales).
CIPA grateful acknowledges the support of the following funding sources
EU Fifth Framework Programme IST: Accompanying Measures; Motorola; Hewlett-Packard; Amdahl;
Agilent-Ireland; Technology Systems International Ltd.; Tegral; Forbairt; European Commission:
Framework IV; EOLAS/British Council; DCU Research Committee; DCU Educational Trust; RINCE;
Irish Cancer Society; Mater Hospital; National Rehabilitation Board; Private Donors;
Albert College Junior and Senior Fellowships; Health Research Board; Irish Research Council for Science;
Engineering and Technology (IRCSET); NBIP; Enterprise Ireland (C+, Tech Dev, POC, ARGS);
Irish Higher Education Authority (PRTLI I, IV, V); Wellcome Trust; Temple Street Children's Hospital;
Industrial partners and Science Foundation Ireland (PI & RFP), EU FP7 [Marie-Curie, Co-Fund].