| Paper: | MLSP-P2.7 | ||
| Session: | Bioinformatics and Biomedical Applications | ||
| Time: | Wednesday, May 19, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Machine Learning for Signal Processing: Biomedical Applications and Neural Engineering | ||
| Title: | WATERSHED TRANSFORM FOR AUTOMATIC IMAGE SEGMENTATION OF THE HUMAN PELVIC AREA | ||
| Authors: | Juliana Camapum Wanderley; Universidade de Brasília | ||
| Alzenir Silva; Universidade de Brasília | |||
| Alan Freitas; Universidade de Brasília | |||
| Hansenclever Bassani; Universidade de Brasília | |||
| Rodrigo Vasconcelos; Universidade de Brasília | |||
| Flávia Freitas; Universidade de Brasília | |||
| Abstract: | In this work, we propose a new system for automatic image segmentation of organs of the human pelvic area. The algorithm is based on multi-region growing followed by watershed transform. The main contributions are the method of seed pixels selection and predicate of the multi-region growing algorithm and the segmentation results achieved. The system was tested in 400 images and its efficiency was measured by two different statistical methods, correlation and the t-test. The clinical application of the proposed technique is the radiotherapy treatment, which depends on the delineation of the treated area. The organs of interest are the rectum, bladder and seminal vesicles. | ||
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