SEEDED REGION GROWING

被引：2238

作者：

ADAMS, R

BISCHOF, L

机构：

[1] CSIRO, Division of Mathematics and Statistics, North Ryde, NSW 2113

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1994年 / 16卷 / 06期

关键词：

IMAGE SEGMENTATION; REGION GROWING; SEMIINTERACTIVE IMAGE PROCESSING; WATERSHED;

D O I：

10.1109/34.295913

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 here a new algorithm for segmentation of intensity images which is robust, rapid, and free of tuning parameters. The method, however, requires the input of a number of seeds, either individual pixels or regions, which will control the formation of regions into which the image will be segmented. In this correspondence, we present the algorithm, discuss briefly its properties, and suggest two ways in which it can be employed, namely, by using manual seed selection or by automated procedures.

引用

页码：641 / 647

页数：7

共 16 条

[1]

ADAMS R, 1991, P DICTA 91, P459

[2]

Ballard DH, 1982, COMPUTER VISION

[3] SEGMENTATION THROUGH VARIABLE-ORDER SURFACE FITTING [J].

BESL, PJ ;

JAIN, RC .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1988, 10 (02) :167-192

[4] A ROBUST METHOD FOR PICTURE SEGMENTATION BASED ON A SPLIT-AND-MERGE PROCEDURE [J].

CHEEVASUVIT, F ;

MAITRE, H ;

VIDALMADJAR, D .

COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1986, 34 (03) :268-281

[5] SPLIT-AND-MERGE IMAGE SEGMENTATION BASED ON LOCALIZED FEATURE ANALYSIS AND STATISTICAL TESTS [J].

CHEN, SY ;

LIN, WC ;

CHEN, CT .

CVGIP-GRAPHICAL MODELS AND IMAGE PROCESSING, 1991, 53 (05) :457-475

[6]

Davis L. S., 1975, COMPUTER GRAPHICS IM, V4, P248, DOI [10.1016/0146-664X(75)90012-X, DOI 10.1016/0146-664X(75)90012-X]

[7]

Hand D.J., 1981, WILEY SERIES PROBABI

[8] IMAGE SEGMENTATION TECHNIQUES [J].

HARALICK, RM ;

SHAPIRO, LG .

COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1985, 29 (01) :100-132

[9]

HOROWITZ SL, 1974, 2ND P INT JOINT C PA, P424

[10]

Meyer F., 1990, Journal of Visual Communication and Image Representation, V1, P21, DOI 10.1016/1047-3203(90)90014-M

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