CLASSIFICATION OF GUAVA FRUIT RIPENESS USING THE HSV AND LVQ ALGORITHMS

WICAKSONO, SUNGGING ADHI (2021) CLASSIFICATION OF GUAVA FRUIT RIPENESS USING THE HSV AND LVQ ALGORITHMS. Other thesis, Universitas Katholik Soegijapranata Semarang.

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Abstract

All the fruits in this world must have ripened different levels from color to texture. These differences make determining the ripeness level of guava fruit rather difficult, so this research was conducted so that the classification of the level of ripe guava could be identified. first the system will take the image of the guava fruit that has been obtained and then enter the cropping stage to get the center point of the image. After that, extract the rgb value and hsv conversion so that classification using the LVQ algorithm can be run. in the classification phase is to find the smallest value which will later be included in the ripe or raw class. The result of this project is that guava fruit images can be grouped based on fruit classification. This accuracy value can be higher if the training data used is more useful so that the program is able to determine exactly as the image is real and correct.

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works > 005 Computer programming, programs & data
Divisions: Faculty of Computer Science > Department of Informatics Engineering
Depositing User: mr AM. Pudja Adjie Sudoso
Date Deposited: 23 Jun 2021 03:43
Last Modified: 23 Jun 2021 03:43
URI: http://repository.unika.ac.id/id/eprint/25845

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