Abstract
Wertheimer's theory suggests a general perception law according to which objects having a quality in common get perceptually grouped. The Helmholtz principle is a quantitative version of this general grouping law. It states that a grouping is perceptually "meaningful" if its number of occurrences would be very small in a random situation: Geometric structures are then characterized as large deviations from randomness. In two previous works, we have applied this principle to the detection of orientation alignments and boundaries in a digital image. In this paper, we show that the method is fully general and can be extended to a grouping by any quality. We treat as an illustration the alignments of objects, their grouping by color and by size, and the vicinity gestalt (clusters). Collaboration of the gestalt grouping laws and their pyramidal structure are illustrated in a case study.
| Original language | English |
|---|---|
| Pages (from-to) | 508-513 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| Volume | 25 |
| Issue number | 4 |
| Early online date | 30 Apr 2003 |
| DOIs | |
| Publication status | Published - Apr 2003 |
| Externally published | Yes |
Bibliographical note
This work was partially supported by the US Office of Naval Research under grant N00014-97-1-0839, the Centre National d’Etudes Spatiales, the Centre National de la Recherche Scientifique, and the Ministère de la Recherche et de la Technologie.Keywords
- A contrario probabilistic model
- Alignments
- Binomial law
- Clusters
- Gestalt grouping laws
- Histogram modes
- Number of false alarms
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