title: Morphological segmentation for sagittal plane image analysis.
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.
authors.affiliation: Federal Center of Technology Education, Fortaleza, CE, Brazil. nivando@ifce.edu.hr
authors.forename: F N
authors.initials: FN
authors.lastname: Bezerra
authors.forename: I C
authors.initials: IC
authors.lastname: Paula
authors.forename: F S
authors.initials: FS
authors.lastname: Medeiros
authors.forename: D M
authors.initials: DM
authors.lastname: Ushizima
authors.forename: L S
authors.initials: LS
authors.lastname: Cintra
mesh_terms: D000465:Algorithms; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D051598:Whole Body Imaging / Q000379:methods*