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Use of Image Analysis to Investigate Human Quality Classification of Apples

✍ Scribed by I. Paulus; R. De Busscher; E. Schrevens


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
298 KB
Volume
68
Category
Article
ISSN
0021-8634

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✦ Synopsis


The quality grade of apple fruit has to be distinguished before marketing, but such classification is highly sensitive to human error. Image analysis can be used to extract external quality properties from digitized videoimages. Algorithms were developed to characterize shape, size and colour of apples. Classification of apple quality was simulated by ''tree-based modelling'' using objective measurements of the external properties. This methodology gave insight into the way in which external product features affect the human perception of quality. The characteristics influencing the classification were found to differ according to the variety. It was also found that humans have poor ability to repeat their quality estimation; this is defined as inconsistency. A methodology was developed to study the product features influencing this inconsistency. As the classification involved more product properties and became more complex, the error of human classification increased.

1997 Silsoe Research Institute Notation R radius of the apple image, cm rotation angle, rad a parameter of cosine term of Fourier analysis b parameter of sine term of Fourier analysis R red value in CIE-RGB colour space G green value in CIE-RGB colour space B blue value in CIE-RGB colour space PRIN1 shape variable for the length/width ratio PRIN2 shape variable for the conicity 2DAR total skin area, cm DIAM diameter, cm VOL volume, cm r red chromaticity value, R/(R#G#B) g green chromaticity value, G/(R#G#B) b blue chromaticity value, B/(R#G#B) SC colour variable characterizing green hues BLCL colour variable characterizing red hues BLAR colour variable characterizing percentage blush on apple skin INT intensity, R#G#B MXINT colour variable characterizing maximal intensity av average value n indexing variable


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