|
Научная визуализация
| Год выпуска: | 2017 |
| Квартал: | 4 |
| Том: | 9 |
| Номер: | 5 |
| Страницы: | 38 - 53 |
|
| Название публикации: |
THE MULTI-AGENT PARADIGM OF RANGE IMAGE SEGMENTATION |
| Авторы: |
Khaldi Amine (Algeria) |
| Адреса авторов: |
Khaldi Amine
amine.vision@live.fr
University of Kasdi Merbah, 30000, Ouargla, Algeria |
| Краткое описание: |
In this work, we present and compare three methods for edge detection applied to range images based on deformable models. We will apply a classic active contour, level sets then an adaptive active contour. Despite the good experimental results on the simple objects, we note that the adaptive and classical snake methods have a few limitations. The adaptive and classical snake cannot detect discontinuities in curvatures and some items do not always converge. The level set method is very efficient for segmenting range images with curvature and with complex forms. Finally, we propose a multi-agent system approach for segmenting range images. |
| Язык: |
Английский |
| DOI: |
http://doi.org/10.26583/sv.9.5.03 |
|
|
|
