Study of Detecting Defect System for the Images of Medical Aluminum-Plastic Cap

Gen Li Shan; Peng Hui Huang; Yun Guang Zhou

doi:10.4028/www.scientific.net/AMR.580.67

Paper Titles

Research and Analysis on Aerial Passenger Device Train
p.51

Local Buckling of 2A12 Angle Aluminum Alloy under Axial Compression
p.55

Numerical Simulation of Frictional Dissipation in the Dislocated Single Floating Ring Bearing
p.59

Numerical Simulation and Prediction of Cutting Force in Turning of Titanium Alloy
p.63

Study of Detecting Defect System for the Images of Medical Aluminum-Plastic Cap
p.67

Study on the Fatigue Life of Fully-Automatic Hydraulic Press Pull Rods Based on Finite Element and Mechanical Materials
p.70

Stall Analysis of the Compressor Based on Discrete Wavelet
p.74

A Gradient-Prediction Algorithm for Computing One Dimensional Stable and Unstable Manifolds of Maps
p.78

A Research on the Power Match of Generator System of Special Vehicle
p.82

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 580Study of Detecting Defect System for the Images of...

Study of Detecting Defect System for the Images of Medical Aluminum-Plastic Cap

Abstract:

This paper introduces the current situation of the development of medical aluminum- plastic caps and the importance of developing a set of recognizing system to measure their defects. For the defects on the inner side of the cap, a kind of identification method by extracting the image characteristic values is put forward, which include Area, Compact degree and six moment invariant parameters. Comparing the values of the caps to be detected with those of qualified ones, we then use the removing device to remove the failed caps.

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Periodical:

Advanced Materials Research (Volume 580)

Pages:

67-69

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.580.67

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Online since:

October 2012

Authors:

Gen Li Shan, Peng Hui Huang, Yun Guang Zhou

Keywords:

Feature Extraction, Image Processing, Medical Aluminum-Plastic Cap, Moment Invariants

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