Watershed transform for automatic image segmentation of the human pelvic area

被引：0

作者：

Silva, AO ^{[1
]}

Wanderley, JFC ^{[1
]}

Freitas, AN ^{[1
]}

Bassani, HD ^{[1
]}

de Vasconcelos, RA ^{[1
]}

Freitas, FMO ^{[1
]}

机构：

[1] Univ Brasilia, Dept Engn Eletr, BR-70910900 Brasilia, DF, Brazil

来源：

2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL V, PROCEEDINGS: DESIGN AND IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS INDUSTRY TECHNOLOGY TRACKS MACHINE LEARNING FOR SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING SIGNAL PROCESSING FOR EDUCATION | 2004年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：597 / 600

页数：4

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