An investigation into apple inspection in colour space : a thesis presented in fulfilment of the requirements for the degree of Master of Engineering in Industrial Automation at Massey University, Palmerston North, New Zealand

Simple item page
dc.contributor.authorCaulton, Michael
dc.date.accessioned2012-07-02T20:59:16Z
dc.date.available2012-07-02T20:59:16Z
dc.date.issued2011
dc.description.abstractTo maximise the storage life of packed apples, no damaged apple can be included because the ethylene produced by the damaged, rotting fruit can lead to damage in the surrounding fruit. The variability in size, shape and colour of apples has meant that the commercial inspection process has had to remain largely manual. In manual inspection, all surfaces of the apple are sequentially presented to human inspectors who remove deformed or blemished apples from the processing line. Most automated commercial inspection systems use infrared images to inspect the apples. These systems struggle to identify defects near the stem or calyx because of the reduced information in the monochrome images. In this work, the full visible light spectrum, via a full colour camera, was used to inspect apples in an attempt to isolate and identify stems, calyxes and defects. A Sobei filter and an islanding routine were used to find areas of interest in undamaged apple skin. This led to the identification of 92.7% of stems, 97.9% calyxes and 83.0% of defects. Image processing for defect identification took as little as 16ms per image; fast enough for implementation in a commercial application where speed is critical.en
dc.identifier.urihttp://hdl.handle.net/10179/3544
dc.language.isoenen
dc.publisherMassey Universityen_US
dc.rightsThe Authoren_US
dc.subjectApple inspectionen
dc.subjectPostharvest technologyen
dc.subjectComputer visionen
dc.subjectImage processingen
dc.subjectColour cameraen
dc.titleAn investigation into apple inspection in colour space : a thesis presented in fulfilment of the requirements for the degree of Master of Engineering in Industrial Automation at Massey University, Palmerston North, New Zealanden
dc.typeThesisen
massey.contributor.authorCaulton, Michaelen
thesis.degree.disciplineIndustrial Automationen
thesis.degree.grantorMassey Universityen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Engineering (M.E.)en
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
01_front.pdf
Size:
65.23 KB
Format:
Adobe Portable Document Format
Description:
Download
Thumbnail Image
Name:
02_whole.pdf
Size:
2.71 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
804 B
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Theses and Dissertations