TY - GEN
T1 - Spatial relationships over sparse representations
AU - Loménie, Nicolas
AU - Racoceanu, Daniel
PY - 2009
Y1 - 2009
N2 - New imaging devices provide image data at very high spatial resolution acquisition and throughput rate. In satellite or medical two-dimensional images, high-content and large image issues plead for more high semantic level interactions between the computer vision systems and the end-users in order to leverage the cognitive symbiosis between both systems for practical tasks such as clinical disease grading practices based on visual inspection. Within the mathematical morphology framework, this seminal paper proposes new theoretical tools to perform high-level spatial relation queries for the exploration of large amount of image data through sparse representations like Delaunay triangulations.
AB - New imaging devices provide image data at very high spatial resolution acquisition and throughput rate. In satellite or medical two-dimensional images, high-content and large image issues plead for more high semantic level interactions between the computer vision systems and the end-users in order to leverage the cognitive symbiosis between both systems for practical tasks such as clinical disease grading practices based on visual inspection. Within the mathematical morphology framework, this seminal paper proposes new theoretical tools to perform high-level spatial relation queries for the exploration of large amount of image data through sparse representations like Delaunay triangulations.
UR - http://www.scopus.com/inward/record.url?scp=77951169941&partnerID=8YFLogxK
U2 - 10.1109/IVCNZ.2009.5378406
DO - 10.1109/IVCNZ.2009.5378406
M3 - Conference contribution
AN - SCOPUS:77951169941
SN - 9781424446988
T3 - 2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Conference Proceedings
SP - 226
EP - 230
BT - 2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Conference Proceedings
T2 - 2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009
Y2 - 23 November 2009 through 25 November 2009
ER -