A new methodology to solve the problem of characterizing 2-D biomedical shapes.
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.
Fernández-Valdivia
J
J
Departamento de Ciencias de la Computación e I.A. ETSI Informática Universidad de Granada, Spain.
García
J A
JA
Perez de la Blanca
N
N
Garrido
A
A
Fuertes
J M
JM
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