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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Calderero, F. Marques, F. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Signal Theor. & Commun., Tech. Univ. of Catalonia, Barelona (Calderero, F.; Marques, F.) |
| Abstract | This work presents a new statistical approach to region merging where regions are modeled as arbitrary discrete distributions, directly estimated from the pixel values. Under this framework, two region merging criteria are obtained from two different perspectives, leading to information theory statistical measures: the Kullback-Leibler divergence and the Bhattacharyya coefficient. The developed methods are size-dependent, which assures the size consistency of the partitions but reduces their size resolution. Thus, a size-independent extension of the previous methods, combined with a modified merging order, is also proposed. Additionally, an automatic criterion to select the most statistically significant partitions from the whole merging sequence is presented. Finally, all methods are evaluated and compared with other state-of-the-art region merging techniques. |
| Starting Page | 3016 |
| Ending Page | 3019 |
| File Size | 321991 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424417650 |
| ISSN | 15224880 |
| DOI | 10.1109/ICIP.2008.4712430 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-12 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Merging Information theory Image segmentation Probability distribution Pixel Image color analysis Image sequence analysis Image texture analysis Image resolution Partitioning algorithms Bhattacharyya coefficient region merging information theory Kullback-Leibler divergence |
| Content Type | Text |
| Resource Type | Article |
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