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Abstract
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Article Information:
Segmentation Techniques Applied to Citrus Fruit Images for External Defect Identification
K. Vijayarekha
Corresponding Author: K. Vijayarekha
Submitted: March 18, 2012
Accepted: April 23, 2012
Published: December 15, 2012 |
Abstract:
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This study discusses the merits and demerits of four methods of defect segmentation of citrus fruit
images viz. segmentation using iterative intensity enhancement, segmentation using reference imaging,
segmentation using contrast stretching and segmentation using color RGB vectors. About 20 mandarin fruits
having three different external defects viz. pitting, splitting and stem end rot were procured for this study. A
Pulnix 6700-CL color CCD camera was used for image acquisition. The acquired images were preprocessed
before being segmented. The preprocessed images were segmented using the four methods and the results are
discussed.
Key words: Contrast stretching, intensity enhancement, reference imaging, , , ,
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Abstract
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Cite this Reference:
K. Vijayarekha, . Segmentation Techniques Applied to Citrus Fruit Images for External Defect Identification. Research Journal of Applied Sciences, Engineering and Technology, (24): 5313-5319.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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