Cross-Channel Co-Occurence Matrices for Robust Characterization of Surface Disruptions in 2 1/2 D Rail Image Analysis

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Original language	English
Title of host publication	Proceedings of Advanced Concepts for Intelligent Vision Systems, Lecture Notes in Computer Science
Publisher	Springer
Pages	469-474
Number of pages	6
ISBN (Print)	978-3-642-17687-6
Publication status	Published - 2012
Event	Advanced Concepts for Intelligent Vision Systems - Duration: 4 Sept 2012 → 7 Sept 2012

Conference	Advanced Concepts for Intelligent Vision Systems
Period	4/09/12 → 7/09/12

Research Field

@inproceedings{95d408be8ffd4b47816443a4700c0352,

title = "Cross-Channel Co-Occurence Matrices for Robust Characterization of Surface Disruptions in 2 1/2 D Rail Image Analysis",

author = "Daniel Soukup and Reinhold Huber-M{\"o}rk",

year = "2012",

language = "English",

isbn = "978-3-642-17687-6",

pages = "469--474",

booktitle = "Proceedings of Advanced Concepts for Intelligent Vision Systems, Lecture Notes in Computer Science",

publisher = "Springer",

address = "Germany",

note = "Advanced Concepts for Intelligent Vision Systems ; Conference date: 04-09-2012 Through 07-09-2012",

}

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

TY - GEN

T1 - Cross-Channel Co-Occurence Matrices for Robust Characterization of Surface Disruptions in 2 1/2 D Rail Image Analysis

AU - Huber-Mörk, Reinhold

A2 - Soukup, Daniel

PY - 2012

Y1 - 2012

M3 - Conference Proceedings with Oral Presentation

SN - 978-3-642-17687-6

SP - 469

EP - 474

BT - Proceedings of Advanced Concepts for Intelligent Vision Systems, Lecture Notes in Computer Science

PB - Springer

T2 - Advanced Concepts for Intelligent Vision Systems

Y2 - 4 September 2012 through 7 September 2012

ER -