Discontinuity detection and thresholding--A stochastic approach

David Lee; G. W. Wasilkowski

Discontinuity detection and thresholding--A stochastic approach

David Lee, G. W. Wasilkowski

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

Detection and thresholding using a stochastic approach is discussed. A general form of detectors which includes a number of well-known detectors as special cases is discussed. Thresholding is indispensable to eliminate spurious responses from the detection process. The authors propose a weighted thresholding, which is designed to cope with a variety of anomalies. The analysis and experimental results on real images show that intelligent thresholding methods can make a significant difference for discontinuity detection.

Original language	English
Title of host publication	Proc 91 IEEE Comput Soc Conf Comput Vision Pattern Recognit
Pages	208-214
Number of pages	7
State	Published - 1991
Event	Proceedings of the 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Maui, HI Duration: Jun 3 1991 → Jun 6 1991

Publication series

Name	Proc 91 IEEE Comput Soc Conf Comput Vision Pattern Recognit

Conference

Conference	Proceedings of the 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
City	Maui, HI
Period	6/3/91 → 6/6/91

ASJC Scopus subject areas

General Engineering

Cite this

@inproceedings{3c5ea733e2a34574b6fbb2a4f2c210e3,

title = "Discontinuity detection and thresholding--A stochastic approach",

abstract = "Detection and thresholding using a stochastic approach is discussed. A general form of detectors which includes a number of well-known detectors as special cases is discussed. Thresholding is indispensable to eliminate spurious responses from the detection process. The authors propose a weighted thresholding, which is designed to cope with a variety of anomalies. The analysis and experimental results on real images show that intelligent thresholding methods can make a significant difference for discontinuity detection.",

author = "David Lee and Wasilkowski, {G. W.}",

year = "1991",

language = "English",

isbn = "0818621486",

series = "Proc 91 IEEE Comput Soc Conf Comput Vision Pattern Recognit",

pages = "208--214",

booktitle = "Proc 91 IEEE Comput Soc Conf Comput Vision Pattern Recognit",

note = "Proceedings of the 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition ; Conference date: 03-06-1991 Through 06-06-1991",

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T1 - Discontinuity detection and thresholding--A stochastic approach

AU - Lee, David

AU - Wasilkowski, G. W.

PY - 1991

Y1 - 1991

N2 - Detection and thresholding using a stochastic approach is discussed. A general form of detectors which includes a number of well-known detectors as special cases is discussed. Thresholding is indispensable to eliminate spurious responses from the detection process. The authors propose a weighted thresholding, which is designed to cope with a variety of anomalies. The analysis and experimental results on real images show that intelligent thresholding methods can make a significant difference for discontinuity detection.

AB - Detection and thresholding using a stochastic approach is discussed. A general form of detectors which includes a number of well-known detectors as special cases is discussed. Thresholding is indispensable to eliminate spurious responses from the detection process. The authors propose a weighted thresholding, which is designed to cope with a variety of anomalies. The analysis and experimental results on real images show that intelligent thresholding methods can make a significant difference for discontinuity detection.

UR - http://www.scopus.com/inward/record.url?scp=0026390470&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0026390470&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0026390470

SN - 0818621486

T3 - Proc 91 IEEE Comput Soc Conf Comput Vision Pattern Recognit

SP - 208

EP - 214

BT - Proc 91 IEEE Comput Soc Conf Comput Vision Pattern Recognit

T2 - Proceedings of the 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Y2 - 3 June 1991 through 6 June 1991

ER -

Discontinuity detection and thresholding--A stochastic approach

Abstract

Publication series

Conference

ASJC Scopus subject areas

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