| Autor: |
Juliana Goncalves de Souza, João Choma Neto, Franklin César Flores |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
SCCC |
| DOI: |
10.1109/sccc49216.2019.8966422 |
| Popis: |
Segmenting images is one of the most famous image processing and computer vision's challenge. In this work we present an approach to a method of segmentation of similar images based on hierarchical segmentation and texture information. An empirical study was conducted, it was made of three experiments. First experiment evaluated the $P$ param-eter's variation of the LBP texture extractor and the use of external edges of analyzed region; the second one evaluated the variation of eight gradients, being 7 colored gradients; and the last one compares results between Kullback-Leibler measure and Euclidean distance. The obtained results show the best configurations. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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