Automatic mango detection using Image processing and HOG-SVM

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creativework.keywordsHistogram of oriented gradients; Linear support vector machine; Image processing; Mango detection.
dc.contributor.authorBaculo, Maria Jeseca C.
dc.contributor.authorMarcos, Nelson
dc.date.accessioned2026-08-20T01:30:38Z
dc.date.available2026-08-20T01:30:38Z
dc.date.issued2018-12
dc.descriptionFull text.
dc.description.abstractMango is an agricultural produce with high export value as it is being consumed internationally. To ensure its production yield, the manual handling and classification tasks should be performed with precision and care by local farmers. Image processing and machine learning has improved the way classification, defect detection, and yield approximation are handled. Detection is considered as an initial step prior to performing these tasks. This paper presents an automatic mango detector by combining a Support Vector Machine (SVM) classifier trained with Histogram of Oriented Gradients (HOG) features and image segmentation. The image segmentation performed on both HSV and RGB color spaces using image processing techniques achieved a mean IoU of 0.7938. A HOG-SVM based classifier was trained and achieved an F-score of 89.38%. Results show that combining segmentation with HOG-SVM can detect and localize healthy and defective mango images with different background color and illumination.
dc.identifier.citationBaculo, M. J. C., & Marcos, N. (2018). Automatic mango detection using Image processing and HOG-SVM. ACM International Conference Proceeding Series, 211 - 215. https://doi.org/10.1145/3301326.3301358
dc.identifier.urihttps://lakasa.dmmmsu.edu.ph/handle/123456789/2398
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.sdgSDG 2
dc.subjectImage processing
dc.subjectComputer vision
dc.subjectHistogram of Oriented Gradients
dc.subjectSupport Vector Machine
dc.subjectObject detection
dc.subjectAgricultural automation
dc.subjectMango detection
dc.subjectFruit grading
dc.subject.ddc006.4
dc.subject.lcshImage processing -- Computer programs
dc.subject.lcshComputer vision
dc.subject.lcshPattern recognition systems
dc.subject.lcshSupport vector machines
dc.subject.lcshAgricultural automation
dc.subject.lcshFruit -- Grading
dc.subject.lcshMangoes -- Harvesting
dc.titleAutomatic mango detection using Image processing and HOG-SVM
dc.typeConference paper
oaire.citation.endPage215
oaire.citation.startPage211
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