منابع مشابه
egg sorting by machine vision method (research note)
sorting and classification of agricultural products by machine vision system reduce costs and increase quality and accuracy. this research was performed to develop an algorithm and machine vision system for separating dirty and defects eggs and classifying by volume and weight. this machine installed on transport line egg in agriculture included a digital camera, computer and mechanical device ...
متن کاملResearch on Workpiece Sorting System Based on Machine Vision Mechanism
This paper describes industrial sorting system, which is based on robot vision technology, introduces main image processing methodology used during development, and simulates algorithm with Matlab. Besides, we set up image processing algorithm library via C# program and realize recognition and location for regular geometry workpiece. Furthermore, we analyze camera model in vision algorithm libr...
متن کاملOn-line machine vision system for fast fruit colour sorting using low-cost architecture
The work presented in this paper is part of a system developed for fruit sorting. The machine vision unit is part of a distributed control system in which several machine vision modules can be integrated with a control module and a user interface unit. The control module takes care of the distributed control of the conveyor belt, weight units and fruit output units. The user interface is a fron...
متن کاملMachine Vision System for Color Sorting Wood Edge-Glued Panel Parts
-This paper describes an automatic color sorting system for hardwood edge-glued panel parts. The color sorting system simultaneously examines both faces of a panel part and then determines which face has the “better” color given specified color uniformity and priority defined by management. The real-time color sorting system software and hardware are briefly described. An actual working system ...
متن کاملIn-vivo fish sorting by computer vision
An image-processing algorithm, applied to images of common carp (Cyprinus carpio), St. Peter’s fish (Oreochromis sp.) and grey mullet (Mugil cephalus), successfully discriminated among the species. Fish images were acquired while they were swimming in an aquarium with their side to the camera. The algorithm was based on the method of moment-invariants (MI) coupled with geometrical consideration...
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ژورنال
عنوان ژورنال: Modern Applied Science
سال: 2010
ISSN: 1913-1852,1913-1844
DOI: 10.5539/mas.v4n2p49