A NEW METHODOLOGY TO SOLVE THE PROBLEM OF CHARACTERIZING 2-D BIOMEDICAL SHAPES

被引：3

作者：

FDEZVALDIVIA, J ^{[1
]}

GARCIA, JA ^{[1
]}

DELABLANCA, NP ^{[1
]}

GARRIDO, A ^{[1
]}

FUERTES, JM ^{[1
]}

机构：

[1] UNIV JENA,ESCUELA POLITEC SUPER,DEPT INFORMAT,E-23071 JAEN,SPAIN

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 1995年 / 46卷 / 03期

关键词：

2-DIMENSIONAL BIOMED CONTOUR; DEGREES OF SMOOTHING VECTOR; SEGMENTATION PROCESS; CLUSTERING PROCEDURE; CURVATURE; PERCEPTUAL POINT;

D O I：

10.1016/0169-2607(95)01626-5

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：187 / 205

页数：19

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