Patent
Produce recognition system
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TLDR
In this article, an image processing system is used to recognize objects within a scene using an illumination source for illuminating the scene, which can recognize objects independent of size and number and can also recognize objects that is was not originally programmed to recognize.Abstract:
The present system and apparatus uses image processing to recognize objects within a scene. The system includes an illumination source for illuminating the scene. By controlling the illumination source, an image processing system can take a first digitize image of the scene with the object illuminated a higher level and a second digitized image with the object illuminated at a lower level. Using an algorithm, the object(s) image is segmented from a background image of the scene by a comparison of the two digitized images taken. A processed image (that can be used to characterize features) of the object(s) is then compared to stored reference images. The object is recognized when a match occurs. The system can recognize objects independent of size and number and can be trained to recognize objects that is was not originally programmed to recognize.read more
Citations
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References
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Texture analysis Anno 1983
TL;DR: The texture analysis methods being used at present are reviewed and statistical as well as structural approaches are included and their performances are compared.
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A review of algorithms for shape analysis
TL;DR: Algorithms for shape analysis are reviewed and classified under two criteria: whether they examine the boundary only or the whole area, and whether they describe the original picture in terms of scalar measurements or through structural descriptions.
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TL;DR: In this paper, the authors discuss the automation of inspection with light and its various industrial applications, including blemish detection, complex patterned-surface examination, single and multiple defect detection, measurement of tools and components, counting, grading, sorting, sizing, orientation and posture recognition.
Proceedings ArticleDOI
Mathematical Transform Of (R, G, B) Color Data To Munsell (H, V, C) Color Data
Makoto Miyahara,Yasuhiro Yoshida +1 more
TL;DR: A new method of mathematical transformation that can transform (RGB) data to the data of the Munsell Renotation System far better than the conventional method given by the CIE(1976)L*a*b*.
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TL;DR: This review reports the techniques used to code shape and investigates whether the schemes allow reconstruction of shape from the descriptor, their ability to recognize an object from a partial description, computational complexity and their limitations.