Research on Measurement of Realistic Planting Leaf Area Based on Machine Vision
基于机器视觉的现实叶片面积测量方法的研究

Leaf area is a common criterion in some crop plantings, and it is also an evaluating criterion for quantities and qualities of crop products. But leaf images got from the real world often have some geometric distortion. Now the geometry correction to leaf images with perspective distortion was researched by knowledge of machine vision, and the objective is to make the corrected leaf images be close to the leaf images without geometric distortion as far as possible. Then the leaf area can be calculated with the math relations according to the statistic of goal pixel.