Measuring the weight of egg with image processing and ANFIS model

Authors:
Payam Javadikia;Mohammad Hadi Dehrouyeh;Leila Naderloo;Hekmat Rabbani;Ali Nejat Lorestani
Affiliations:
Department of Mechanical Engineering of Agricultural Machinery, Collage of Agriculture and Natural Resources, Razi University, Kermanshah, Iran;Department of Mechanical Engineering of Agricultural Machinery, Roudehen Branch, Islamic Azad University, Roudehen, Iran;Department of Mechanical Engineering of Agricultural Machinery, Faculty of Agricultural Engineering and Technology, Collage of Agriculture and Natural Resources, University of Tehran, Tehran, Iran;Department of Mechanical Engineering of Agricultural Machinery, Collage of Agriculture and Natural Resources, Razi University, Kermanshah, Iran;Department of Mechanical Engineering of Agricultural Machinery, Collage of Agriculture and Natural Resources, Razi University, Kermanshah, Iran
Venue:
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
Year:
2011

Citing 9
Cited 0

Color Computer Vision and Artificial Neural Networksfor the Detection of Defects in Poultry Eggs

Artificial Intelligence Review
Digital Image Processing

Digital Image Processing
Comparison of wavelet families for texture classification by using wavelet packet entropy adaptive network based fuzzy inference system

Applied Soft Computing
A novel approach for ANFIS modelling based on full factorial design

Applied Soft Computing
Design and comparison of adaptive power system stabilizers based on neural fuzzy networks and genetic algorithms

Neurocomputing
Wavelet transform and adaptive neuro-fuzzy inference system for color texture classification

Expert Systems with Applications: An International Journal
Adaptive neuro-fuzzy inference system employing wavelet coefficients for detection of ophthalmic arterial disorders

Expert Systems with Applications: An International Journal
Modelling for tensile strength of friction welded aluminium pipes by ANFIS

International Journal of Intelligent Engineering Informatics
Modeling and optimization of olive stone drying process

CONTROL'05 Proceedings of the 2005 WSEAS international conference on Dynamical systems and control

Quantified Score

Hi-index	0.00

Visualization

Abstract

It is clear that the egg is very important in human food basket. But a problem in food processing manufactures is measuring the weight of eggs as real time and it's difficult. One solution can be by using the camera. In this research we tried to measure the width and length of egg by real time image processing and then design and optimize an ANFIS model to find best relation between image processing outputs and the weight of egg. The correlation coefficient of experimental value for weight of egg and predicted value by ANFIS model is 0.9942. The result is very interesting and this idea is cheap, novel and practical.