INTEGRATING REGION GROWING AND EDGE-DETECTION

被引：329

作者：

PAVLIDIS, T ^{[1
]}

LIOW, YT ^{[1
]}

机构：

[1] SUNY STONY BROOK,DEPT ELECT ENGN,STONY BROOK,NY 11794

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1990年 / 12卷 / 03期

基金：

美国国家科学基金会;

关键词：

Edge detection; image analysis; merge algorithm; region growing; segmentation; split-and-merge algorithm;

D O I：

10.1109/34.49050

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a method that combines region growing and edge detection for image segmentation. We start with a split-and-merge algorithm [12] where the parameters have been set up so that an over-segmented image results. Then region boundaries are eliminated or modified on the basis of criteria that integrate contrast with boundary smoothness, variation of the image gradient along the boundary, and a criterion that penalizes for the presence of artifacts reflecting the data structure used during segmentation (quad tree in our case). © 1990 IEEE

引用

页码：225 / 233

页数：9

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