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10 June 1994 Model-based flaw detection and classification in web materials
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Abstract
This paper describes the design and implementation of an inspection system that detects and classifies flaws in uniform web materials. The first part of this paper 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 subsystems: sensing, flaw detection, flaw characterization, feature analysis, and classification. The case study involves flaws consisting of bloblike 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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dragana P. Brzakovic, Hamed Sari-Sarraf, and Milorad Neskovic "Model-based flaw detection and classification in web materials", Proc. SPIE 2232, Signal Processing, Sensor Fusion, and Target Recognition III, (10 June 1994); https://doi.org/10.1117/12.177742
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