title: A new methodology to solve the problem of characterizing 2-D biomedical shapes.
abstract: In this paper, a new approach to solve the problem of characterizing 2-D biomedical shapes is introduced. Two-dimensional biomedical contours are described through a 'degrees of smoothing' vector in which each component determines the proper degree of detail for representing each curve part isolating a single structure. A segmentation process is designed based on a clustering procedure applied to vectors of texture measures which are obtained from the graph of curvatures. To solve the problem of characterizing biomedical shapes, a suitable interpolation procedure between the most outstanding perceptual points from the smoothed contours is given.
authors.affiliation: Departamento de Ciencias de la Computación e I.A. ETSI Informática Universidad de Granada, Spain.
authors.forename: J
authors.initials: J
authors.lastname: Fernández-Valdivia
authors.forename: J A
authors.initials: JA
authors.lastname: García
authors.forename: N
authors.initials: N
authors.lastname: Perez de la Blanca
authors.forename: A
authors.initials: A
authors.lastname: Garrido
authors.forename: J M
authors.initials: JM
authors.lastname: Fuertes
mesh_terms: D000465:Algorithms; D000818:Animals; D005260:Female; D006225:Hand / Q000033:anatomy & histology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008327:Mammography / Q000706:statistics & numerical data; D008433:Mathematics; D009348:Nematoda / Q000033:anatomy & histology; D012985:Software Design; D013899:Thoracic Neoplasms / Q000473:pathology