Measuring Leaf Area using Otsu Segmentation Method (LAMOS)

Objective: This paper aims to measure the leaf area using image processing techniques that automate the grid counting method. Methods: For measurement of leaf area, firstly segmentation by Otsu method is required. Subsequently, denoising by median filter and followed by object recognition, boundary tracing and region filling techniques. The tool that is used in this study is Visual C++ 2010 Express using C++ and .Net languages. Findings: Three types of leaves have been tested and the results show that this new method could be used in determining the leaf area with a small relative error. Application/Improvement: Leaf area is an important data to agronomist in conducting their research on plant growth, plant photosynthesis, plant physiological behavior and any other research that requires leaf area data.