Measures of Similarity Between Objects Based on Qualitative Shape Descriptions
| Type of publication: | Article |
| Citation: | |
| Publication status: | Published |
| Journal: | Spatial Cognition and Computation |
| Volume: | 13 |
| Year: | 2013 |
| Pages: | 181-218 |
| URL: | http://www.tandfonline.com/doi... |
| DOI: | 10.1080/13875868.2012.700463 |
| Abstract: | A computational approach for comparing qualitative shape descriptions (QSDs) of objects within digital images is presented. First, the dissimilarity of qualitative features of shape is measured: (i) intuitively using conceptual neighbourhood diagrams; and (ii) mathematically using interval distances. Then, a similarity measure between QSDs is defined and tested using images of different categories of the MPEG-7-CE-Shape-1 library, images of tiles used to build mosaics, and a collection of Clipart images. The results obtained show the effectiveness of the similarity measure defined, which is invariant to translations, rotations and scaling, and which implicitly manages deformation of shape parts and incompleteness. |
| Keywords: | conceptual neighbourhood diagrams, interval distance, qualitative shape, similarity measure |
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