Paper
20 February 2007 Imaging-based logics for ornamental stone quality chart definition
Author Affiliations +
Proceedings Volume 6503, Machine Vision Applications in Industrial Inspection XV; 65030P (2007) https://doi.org/10.1117/12.694879
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
Ornamental stone products are commercially classified on the market according to several factors related both to intrinsic lythologic characteristics and to their visible pictorial attributes. Sometimes these latter aspects prevail in quality criteria definition and assessment. Pictorial attributes are in any case also influenced by the performed working actions and the utilized tools selected to realize the final stone manufactured product. Stone surface finishing is a critical task because it can contribute to enhance certain aesthetic features of the stone itself. The study was addressed to develop an innovative set of methodologies and techniques able to quantify the aesthetic quality level of stone products taking into account both the physical and the aesthetical characteristics of the stones. In particular, the degree of polishing of the stone surfaces and the presence of defects have been evaluated, applying digital image processing strategies. Morphological and color parameters have been extracted developing specific software architectures. Results showed as the proposed approaches allow to quantify the degree of polishing and to identify surface defects related to the intrinsic characteristics of the stone and/or the performed working actions.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Giuseppe Bonifazi, Aldo Gargiulo, Silvia Serranti, and Costantino Raspi "Imaging-based logics for ornamental stone quality chart definition", Proc. SPIE 6503, Machine Vision Applications in Industrial Inspection XV, 65030P (20 February 2007); https://doi.org/10.1117/12.694879
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KEYWORDS
Polishing

Surface finishing

Abrasives

Polishing equipment

RGB color model

Statistical analysis

Image processing

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