Morphological segmentation for sagittal plane image analysis

Author

Bezerra, F.N. ; Paula, I.C., Jr. ; Medeiros, F.N.S. ; Ushizima, D.M. ; Cintra, L.H.S.

Author_Institution

Fed. Center of Technol. Educ., Fortaleza, Brazil

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

4773

Lastpage

4776

Abstract

This paper introduces a morphological image segmentation method by applying watershed transform with markers to scale-space smoothed images and furthermore provides images for clinical monitoring and analysis of patients. The database comprises sagittal plane images taken from a digital camera of patients submitted to Global Postural Reeducation (GPR) physiotherapy treatment. Orthopaedic specialists can use these segmented images to diagnose posture problems, assess physiotherapy treatment evolution and thus reduce diagnostic errors due to subjective analysis.

Keywords

biomechanics; biomedical optical imaging; cameras; image segmentation; medical image processing; orthopaedics; patient monitoring; transforms; clinical monitoring; digital camera; global postural reeducation; morphological image segmentation; orthopaedics; physiotherapy treatment; posture problems; sagittal plane image analysis; scale-space smoothed images; watershed transform; Algorithm design and analysis; Humans; Image color analysis; Image segmentation; Shape; Skin; Transforms; Algorithms; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Subtraction Technique; Whole Body Imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5626637

Filename

5626637