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Titolo:
AN EDGE-DETECTION TECHNIQUE USING LOCAL SMOOTHING AND STATISTICAL HYPOTHESIS-TESTING
Autore:
QIN PH; BHANDARKAR SM;
Indirizzi:
UNIV GEORGIA,DEPT COMP SCI,BOYD GRAD STUDIES RES CTR 415 ATHENS GA 30602 UNIV GEORGIA,DEPT COMP SCI,BOYD GRAD STUDIES RES CTR 415 ATHENS GA 30602 UNIV WISCONSIN,DEPT STAT MADISON WI 53706
Titolo Testata:
Pattern recognition letters
fascicolo: 8, volume: 17, anno: 1996,
pagine: 849 - 872
SICI:
0167-8655(1996)17:8<849:AETULS>2.0.ZU;2-E
Fonte:
ISI
Lingua:
ENG
Soggetto:
ALGORITHM;
Keywords:
EDGE DETECTION; STATISTICAL HYPOTHESIS TESTING; IMAGE PROCESSING;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
Science Citation Index Expanded
Citazioni:
28
Recensione:
Indirizzi per estratti:
Citazione:
P.H. Qin e S.M. Bhandarkar, "AN EDGE-DETECTION TECHNIQUE USING LOCAL SMOOTHING AND STATISTICAL HYPOTHESIS-TESTING", Pattern recognition letters, 17(8), 1996, pp. 849-872

Abstract

An edge detection technique based on local smoothing and statistical hypothesis testing for the detection and localization of step edges and roof edges is proposed. Smoothing and statistical hypothesis testingprocedures for detection and localization of step edges and roof edges are formulated. Experimental results on gray-scale images are presented. The merits, limitations and factors critical to the performance of the proposed technique are discussed. Possible improvements and future research directions are outlined.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 25/10/20 alle ore 12:46:27