Friday 29th of March 2024
 

Exploiting Distance Measurement for Ripeness Identification


Fatma Susilawati Mohamad, Azizah Abdul Manaf and Suriayati Chuprat

Color is one of the main indicators for oil palm ripeness identification. Usually, human can interpret colors differently by just looking into them visually. Therefore, a suitable color model must be chosen in order to determine the right color for the right fruit. This paper exploits the use of Distance Measurements for histogram-based oil palm ripeness identification. In this study, HSV color model is chosen to explore its potential of colors. Four Distance Measurements are selected and compared in this study. Results are shown in later part of this paper. Promising results are obtained for both categories of fruits which is ripe or unripe.

Keywords: Fruit Ripeness Identification; HSV Color Model; Distance Measurement.

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ABOUT THE AUTHORS

Fatma Susilawati Mohamad
A lecturer at Faculty of Informatics, University of Sultan Zainal Abidin, Gong Badak Campus, Kuala Terengganu, Terengganu, Malaysia.

Azizah Abdul Manaf
A Professor of Computer Science at Advanced Informatics School (AIS), University of Technology Malaysia, UTM International Campus, Kuala Lumpur, Malaysia

Suriayati Chuprat
A lecturer of Computer Science at Advanced Informatics School (AIS), University of Technology Malaysia, UTM International Campus, Kuala Lumpur, Malaysia


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