A SCALE-VECTOR APPROACH FOR EDGE-DETECTION

被引：7

作者：

GARCIA, JA

FDEZVALDIVIA, J

GARRIDO, A

机构：

[1] Departamento de Ciencias de la Computación e I.A., E.T.S. de Ingeniería Informática, Universidad de Granada

来源：

PATTERN RECOGNITION LETTERS | 1995年 / 16卷 / 06期

关键词：

IMAGE SEGMENTATION; INTENSITY CHANGE MODEL; CLUSTERING; SCALE PARAMETERS; SMOOTHING FILTERING; SCALE VECTOR; ZERO-CROSSINGS; EDGE CURVES;

D O I：

10.1016/0167-8655(95)80009-I

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a method for selecting proper scale parameters for edge detection. To this aim the image is preliminarily segmented into regions with a homogeneous intensity change model, by using a clustering algorithm based on a dissimilarity measure applied on feature vectors associated to the regions. The used algorithm is a standard clustering method, with a reasonable criterion to establish the number of clusters. Once the image has been properly segmented, in each region the mast proper scale parameter is determined and applied for edge detection.

引用

页码：637 / 646

页数：10

共 8 条

[1]

Brodatz P., 1966, TEXTURES

[2] BOUNDARY SIMPLIFICATION IN CARTOGRAPHY PRESERVING THE CHARACTERISTICS OF THE SHAPE-FEATURES [J].