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Utilization of image processing for quality evaluation and grading of bell pepper (paprika)

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Bell pepper's quality parameters from different grades are studied using image processing. The purpose of this research is to study and determine quality parameters of bell peppers using image processing then utilize image processing for evaluating quality and grading of bell peppers and finally validate the image processing for grading bell peppers based on the determined quality parameters. There are several steps in this study: image acquisition, manual measurement which includes weight, dimensions, and firmness, image processing, analyses of data, determination of quality parameters for sorting and grading, and validation of programming rules in the image processing program for sorting and grading. The statistical analyses show that for images captured from top angle, bell pepper's quality parameters that have correlations are area and weight, along with diameter by image processing and manual measurement while for images captured from side angle, quality parameters that have correlations are area and weight, diameter by image processing and manual measurement, as well as length by image processing and manual measurement. Bell pepper's image processing quality parameters utilized for sorting and grading, for images captured from top angle, are area, diameter, and perimeter. While for images captured from side angle, quality parameters utilized are area, diameter, perimeter and length. However, although all quality parameters of image processing used show trends between grades of bell peppers that are consistent to trends of manual measurements, results of bell pepper grading using the established threshold values of the quality parameters do not represent manual sorting and grading results.

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Availability

B00443

(wh)

Available

Detail Information

Series Title

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Call Number

443

Publisher

: Swiss German University., 2008

Collation

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Language

English

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Classification

NONE

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Edition

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Subject(s)

FT

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