Real-time ROI Morphometrics in High Quality Web Imaging, PaperCon 2016 


Today’s high speed product machines, with increased resolution requirements for Web Imaging Systems (WIS) to analyze smaller details of the product, set new standards for the performance of imaging system technology. In order to use imaging technologies to analyze pulp, paper or paperboard products in real-time, the system first needs to capture an image of the product, and then separate the interesting and uninteresting regions of the image. The latter process is often called Region of Interest (ROI) segmentation, which transforms the grayscale image into a binary image. The next process includes the real-time analysis of the interesting regions. The morphometric methods, including measurement of sizes, lengths, widths, angles and ratios, can be used to analyze the different shape features of the interesting regions, but these methods must run in real-time, regardless of the number of interesting regions per time unit. Thus, real-time analysis of the interesting regions can be demanding if the number of regions is high. 

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Author: Tommi Huotilainen, Myron Laster, and Seppo Riikonen
Real-time ROI Morphometrics in High Quality Web Imaging, Pap
Real-time ROI Morphometrics in High Quality Web Imaging, PaperCon 2016
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