Quantitative measurement of discolorations on okra (Abelmoschus esculentus) leaves through digital image processing

Authors

Darwin B. Putungan ⋅ PH Institute of Mathematical Sciences and Physics, University of the Philippines Los Baños
Alexandra B. Santos ⋅ PH Institute of Mathematical Sciences and Physics, University of the Philippines Los Baños
Darryl Kim C. Natividad ⋅ PH Institute of Mathematical Sciences and Physics, University of the Philippines Los Baños

Abstract

The discolorations on okra leaves were quantified using digital image processing techniques. Scanned images of okra leaves were analyzed by obtaining a processed black and white images and processed HSV (hue, saturation value) images. These images were combined through image arithmetic to produce a final HSV image wherein the percentage of the discoloration and green parts of the leaves were measured. The resulting measurements conform well to the visually observable characteristics of the okra leaves implying that the method used could be a good way of estimating discolorations of okra leaves which could be due to diseases and environmental factors.

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Issue

2009: Proceedings of the 27th Samahang Pisika ng Pilipinas Physics Congress

Scouting the grand vista: From curiosity-driven research to real world application

28-30 October 2009, Development Academy of the Philippines Convention Center, Tagaytay City

Article ID

SPP-2009-7C-03

Section

Instrumentation and Life Sciences

Published

2009-10-28

How to Cite

[1]

DB Putungan, AB Santos, and DKC Natividad, Quantitative measurement of discolorations on okra (Abelmoschus esculentus) leaves through digital image processing, Proceedings of the Samahang Pisika ng Pilipinas 27, SPP-2009-7C-03 (2009). URL: https://proceedings.spp-online.org/article/view/SPP-2009-7C-03.