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A Real-Time Automatic Inspection System for Pattavia Pineapples
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A Real-Time Automatic Inspection System for Pattavia Pineapples

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Abstract:

This paper presents a machine vision method to inspect the maturity of pineapples that ripe naturally. Unlike previous methods, the proposed technique can be categorized as a real-time non destructive testing (Real-Time NDT) approach. It consists of two phases, learning and recognition phases. In the learning phase, the system constructs a library of reference pineappleskin- color models. In the recognition phase, the same process is performed to build a pineappleskin- color model of the testing subject. The model is then compared with each of the reference in the library by a method called region-segmented histogram intersection. The subject is then labeled with the grade of the best match. The system achieved a high performance and speed (3 frames/sec.) in our experiment. The system also includes weighing machine on belt transmission for weight prediction.

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Periodical:

Key Engineering Materials (Volumes 321-323)

Pages:

1186-1191

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.321-323.1186

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Online since:

October 2006

Authors:

Watcharin Kaewapichai, Pakorn Kaewtrakulpong, Asa Prateepasen

Keywords:

Area-Based Elliptical Fitting, Dynamic Weighing, Machine Vision, Pineapple Maturity Grading, Region-Segmented Histogram Intersection

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© 2006 Trans Tech Publications Ltd. All Rights Reserved

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