Title :
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
fDate :
Aug. 31 2010-Sept. 4 2010
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;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5626637
