Model-based flaw detection and classification in web materials

D. Brzakovic, H. Sari-Sarraf, M. Neskovic

Research output: Contribution to journalConference articlepeer-review

Abstract

This paper describes the design and implementation of an inspection system that detects and classifies flaws in uniform web materials. The paper is divided into two parts; the first part describes a general procedure for designing such an inspection system. The second part concentrates on a case study and details the specific algorithms and results. The overall inspection system design incorporates five sub-systems: (i) sensing, (ii) flaw detection, (iii) flaw characterization, (iv) feature analysis and (v) classification. The case study involves flaws consisting of blob like structural elements; a specific spatial arrangement of the blobs is the major characteristics of the flaw class under study. The emphasis of the paper is on the recognition of the flaws independently of their position, orientation and size. The study incorporates analysis on synthetically generated flaws as well as the ones acquired on the production line.

Original languageEnglish
Pages (from-to)175-186
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2232
DOIs
StatePublished - Jun 10 1994
EventSignal Processing, Sensor Fusion, and Target Recognition III 1994 - Orlando, United States
Duration: Apr 4 1994Apr 8 1994

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