کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
381408 1437474 2011 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Intelligent injection liquid particle inspection machine based on two-dimensional Tsallis Entropy with modified pulse-coupled neural networks
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Intelligent injection liquid particle inspection machine based on two-dimensional Tsallis Entropy with modified pulse-coupled neural networks
چکیده انگلیسی

The Automatic Liquid Particle Inspection Machine (AIM) using 2-D Tsallis Entropy with modified pulse-coupled neural networks (PCNN) is used in order to detect visible foreign particles within injection fluids. According to the motion of the particles in liquid, appropriate mechanisms are utilized which guarantees that the inspection machine will follow detection procedures: “Rotation, Abruptly Braking, Video Tracking” to extract tiny objects from complicated sequential images. In order to reduce the influence derived from air bubbles, improved spin/stop techniques are applied. The external capture mode of CCD cameras is used to avoid the possibility of omitting certain particles by trivial displacement. 2-D Tsallis Entropy with modified PCNN is applied in order to segment the difference images, and then to judge the existence of foreign particles according to the continuity and smoothness of their traces. Preliminary experimental results (125 ml 0.9% sodium chloride solution and 10% glucose as the samples) indicate that the inspection machine, which is superior to proficient inspectors, can detect the visible foreign particles effectively and that this detection speed and accuracy, as well as the correct detection rate can also facilitate the medicinal construction.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 24, Issue 4, June 2011, Pages 625–637
نویسندگان
, , , ,