Intelligent Foreign Particle Inspection Machine for Injection Liquid Examination Based on Modified Pulse-Coupled Neural Networks

Sensors

Ji Ge¹  YaoNan Wang²  BoWen Zhou² 

[1] College of Electrical and Information Engineering, Hunan University, China; E-Mail

关键词: Intelligent inspection machine;    foreign particle detection;    modified PCNN;    injection quality inspection;    image processing;    illumination styles;   

DOI  :  10.3390/s90503386

来源: mdpi

【 摘 要 】

A biologically inspired spiking neural network model, called pulse-coupled neural networks (PCNN), has been applied in an automatic inspection machine to detect visible foreign particles intermingled in glucose or sodium chloride injection liquids. Proper mechanisms and improved spin/stop techniques are proposed to avoid the appearance of air bubbles, which increases the algorithms' complexity. Modified PCNN is adopted to segment the difference images, judging the existence of foreign particles according to the continuity and smoothness properties of their moving traces. Preliminarily experimental results indicate that the inspection machine can detect the visible foreign particles effectively and the detection speed, accuracy and correct detection rate also satisfying the needs of medicine preparation.

【 授权许可】

CC BY   
© 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.