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Proceedings ArticleDOI

Image-based recognition of the chip shape

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TLDR
According to the profile characteristics of the extracted chip form and the number of nodes between profile and * line which have the same gravity, chip species are discerned.
Abstract
According to the profile characteristics of the extracted chip form and the number of nodes between profile and * line which have the same gravity, chip species are discerned. The chip types near the critical joint are judged exactly through the standard tolerance of all direction nodes. It was tested to have a high accordant rate.© (2000) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

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Proceedings ArticleDOI

Automated inspection of chip type using image analysis method

TL;DR: This work takes the C-type chip, spiral chip and random-curl chip commonly produced in automated turn processing as the objects of study to inspect the angle of chip flow by using image recognition, and shows that the changing scale of angle of C- type chip and spiral chip flow is 2 degrees and the changing scales of random curl chip flow are 8 degrees.
Proceedings ArticleDOI

Methods of recognizing chip shape based on neural net

TL;DR: The conclusion that the RBF network is superior to the BP network at the aspect of chip shape recognition has got, and the relevant computer program has been developed, which possess good real-time application and adaptability by way of the experiment certification.
References
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Proceedings ArticleDOI

Automated inspection of chip type using image analysis method

TL;DR: This work takes the C-type chip, spiral chip and random-curl chip commonly produced in automated turn processing as the objects of study to inspect the angle of chip flow by using image recognition, and shows that the changing scale of angle of C- type chip and spiral chip flow is 2 degrees and the changing scales of random curl chip flow are 8 degrees.