3D reconstruction method and weight estimation model

We developed a novel method for three-dimensional structure reconstruction using contour shapes derived from image analysis. Furthermore, we employed Random Forests to assess the weight of radishes, incorporating color and shape information obtained from image analysis in addition to volumetric data obtained from the reconstructed three-dimensional structure. To interpret the results of the Random Forests analyses, the importance of the variables and response curves were used to discuss the applicability of color, shape, and volumetric information as quality indices.

画像から抽出した輪郭情報を用いた3次元構造復元手法を提案しました。また、この手法を用いて取得した点群の体積を算出し、この体積情報や画像から抽出した色や輪郭の情報を用いた重量推定モデルを開発しました。

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Yuto Kamiwaki, Shinji Fukuda. 2024. A Machine Learning-Assisted Three-Dimensional Image Analysis for Weight Estimation of Radish. 10(2). 142. https://doi.org/10.3390/horticulturae10020142