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ICAPR
2005
Springer

Lung Field Segmentation in Digital Postero-Anterior Chest Radiographs

10 years 4 months ago
Lung Field Segmentation in Digital Postero-Anterior Chest Radiographs
This paper describes a lung field segmentation method, working on digital Postero-Anterior chest radiographs. The lung border is detected by integrating the results obtained by two simple and classical edge detectors, thus exploiting their complementary advantages. The method makes no assumption regarding the chest position, size and orientation; it has been tested on a non-trivial set of real life cases, composed of 412 radiographs belonging to two different databases. The obtained results and the comparison with more complicate techniques presented in the literature, prove the robustness of the algorithm and demonstrate that rather simple and general methods, properly combined to fit the requirements of a specific application, can provide better results.
Paola Campadelli, Elena Casiraghi
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ICAPR
Authors Paola Campadelli, Elena Casiraghi
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