Detectability of Defects in the Presence of Linear Nuisance Parameters and Images Signal-Dependent Noise

This paper addresses two general problems of imaging systems used for visual inspection and defect detection. On the one hand, the inspected object should be carefully removed in order to detect a potential defect or an anomaly. On the other hand, one of the features of imaging systems is that the noise level depends on the image intensity and so does the detectability of defects. In addition, due to the aging of the acquisition system (LEDs, Reflector), the intensity of the illumination decreases gradually over time. The present paper addresses jointly the impact of aging imaging systems and its ensuing impact on the detectability of a defect in the presence of linear nuisance parameters and signal-dependent noise.

Authors

Institutions

Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/icip51287.2024.10648199
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detectability of Defects in the Presence of Linear Nuisance Parameters and Images Signal-Dependent Noise

Rémi Cogranne
Industrial Vision Systems and Defect Detection
article

Detectability of Defects in the Presence of Linear Nuisance Parameters and Images Signal-Dependent Noise

Rémi Cogranne
article en

Abstract

This paper addresses two general problems of imaging systems used for visual inspection and defect detection. On the one hand, the inspected object should be carefully removed in order to detect a potential defect or an anomaly. On the other hand, one of the features of imaging systems is that the noise level depends on the image intensity and so does the detectability of defects. In addition, due to the aging of the acquisition system (LEDs, Reflector), the intensity of the illumination decreases gradually over time. The present paper addresses jointly the impact of aging imaging systems and its ensuing impact on the detectability of a defect in the presence of linear nuisance parameters and signal-dependent noise.

Vol. 44
Université de Technologie de Troyes (FR)
Climate action
Openalex Percentile: Top 89%
Industrial Vision Systems and Defect Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.