Computing the minimum Hausdorff distance between two point sets on a line under translation
Information Processing Letters
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
ACM Computing Surveys (CSUR)
Shape Analysis and Classification: Theory and Practice
Shape Analysis and Classification: Theory and Practice
Combining Multiple Clusterings Using Evidence Accumulation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hierarchical representation of 2-D shapes using convex polygons: a contour-based approach
Pattern Recognition Letters
Gestalt-based feature similarity measure in trademark database
Pattern Recognition
Shape retrieval using triangle-area representation and dynamic space warping
Pattern Recognition
Envelope detection of multi-object shapes
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Visual saliency and terminology extraction for document annotation
Proceedings of the 2013 ACM symposium on Document engineering
| Hi-index | 0.00 |
This paper introduces an approach for retrieving envelope of high-level object groupings in bi-level images with multiple objects. Motivated by studies in Gestalt theory, hierarchical clustering is used to detect the envelope and group its objects based on their spatial proximity, area, shape features and orientation. To decide the final grouping, the grouping outcomes are combined using an evidence accumulation method. The high-level boundary of the detected envelope is then extracted using morphological operations. For retrieval, the boundary of a query sketch is matched to the extracted envelopes from database images via dynamic space warping. Experiments on a set of bi-level logo images demonstrate the effectiveness of the approach.