4.6 Article

An Automatic Surface Defect Inspection System for Automobiles Using Machine Vision Methods

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

Qin Zou et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)

Article Computer Science, Interdisciplinary Applications

On the detection of defects on specular car body surfaces

Jaime Molina et al.

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING (2017)

Article Chemistry, Analytical

A 3D Laser Profiling System for Rail Surface Defect Detection

Zhimin Xiong et al.

SENSORS (2017)

Article Engineering, Civil

Automatic Road Crack Detection Using Random Structured Forests

Yong Shi et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2016)

Article Engineering, Electrical & Electronic

Lining seam elimination algorithm and surface crack detection in concrete tunnel lining

Zhong Qu et al.

JOURNAL OF ELECTRONIC IMAGING (2016)

Article Engineering, Electrical & Electronic

A Real-Time Visual Inspection System for Discrete Surface Defects of Rail Heads

Qingyong Li et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2012)

Article Computer Science, Artificial Intelligence

Crack Tree: Automatic crack detection from pavement images

Qin Zou et al.

PATTERN RECOGNITION LETTERS (2012)

Article Computer Science, Artificial Intelligence

LIBSVM: A Library for Support Vector Machines

Chih-Chung Chang et al.

ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2011)

Article Engineering, Multidisciplinary

Inspection of specular and painted surfaces with centralized fusion techniques

F. Puente Leon et al.

MEASUREMENT (2006)

Article Computer Science, Artificial Intelligence

Distinctive image features from scale-invariant keypoints

DG Lowe

INTERNATIONAL JOURNAL OF COMPUTER VISION (2004)

Review Engineering, Electrical & Electronic

Survey over image thresholding techniques and quantitative performance evaluation

M Sezgin et al.

JOURNAL OF ELECTRONIC IMAGING (2004)

Article Computer Science, Artificial Intelligence

A survey on industrial vision systems, applications and tools

EN Malamas et al.

IMAGE AND VISION COMPUTING (2003)