การออกแบบระบบประเมินพื้นที่ใบพืชด้วยวิธีการประมวลผลภาพร่วมกับการวิเคราะห์ความถดถอย

Abstract

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Application of image processing and linear regression for estimation of leaf area

Measurements of leaf area are essential to analyze the rate of photosynthesis of plants. This article presents a system design using image processing technique and linear regression analysis to estimate a leaf area, which is derived from pixel count in a scanned leaf image. In a process of making a model, a hundred pieces of paper in different sizes were scanned by a 100 and 200 pixel scanner, and then analyzed by linear regression analysis method to create 3 models for estimating leaf area. To find errors of the models, 60 different leaves were tested. The result showed that the model created from a ratio between leaf area and background gives accurate results with very small errors, and is also flexible for resolution change in a scanning process.