Paper
23 November 1994 Morphological image processing for the recognition of surface defects
Sabine Mueller, Bertram Nickolay
Author Affiliations +
Proceedings Volume 2249, Automated 3D and 2D Vision; (1994) https://doi.org/10.1117/12.196112
Event: Optics for Productivity in Manufacturing, 1994, Frankfurt, Germany
Abstract
Inspection is a very important task for quality control in a factory. The manual detection of surface defects is a time consuming and tedious task because defects are usually small and the area to be inspected is large. Image analysis is necessary to solve this problem. In this paper, morphological image processing for greylevel inspection is illustrated and applied on typical defects encountered on ceramics and textile material. A short introduction to mathematical morphology is also provided.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sabine Mueller and Bertram Nickolay "Morphological image processing for the recognition of surface defects", Proc. SPIE 2249, Automated 3D and 2D Vision, (23 November 1994); https://doi.org/10.1117/12.196112
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Cited by 29 scholarly publications.
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KEYWORDS
Image segmentation

Image filtering

3D vision

Image processing

3D image enhancement

Algorithm development

3D image processing

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