Research of image measurement of shape information for identification of growth status of young plants

形状信息图像测量识别幼苗生长状态的研究

• 批准号: 08660315
• 负责人: SHONO Hiroshi
• 金额: $ 1.41万
• 依托单位: IWATE UNIVERSITY
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1996
• 资助国家: 日本
• 起止时间: 1996 至 1997
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-08660315/
• 关键词: image analysis; image processing; image measurement; texture analysis; three dimensional leaf tip angle distribution; 分光分析; 生長解析; テクスチャ解析; 画像解析; 幼植物体; テキスチヤ解析

Features of figure of plant have been expected as useful indices of status of growth. For example, leaf tip angle is known as a significant index of inner water potential status. However, it is very difficult to measure leaf tip angle of all foliages manually. Efficient method of measuring leaf tip angle is necessary. In this paper, a new method of image measurement of leaf tip angle for small foliage or seedling was proposed and its availability was studied. Wedge-shaped feature, which is one of textural features, contains information about tip angle of line in image. Using this characteristic, the method of measuring both average and three dimensional distribution of leaf tip angle was developed. First, fundamental availability of this method was confirmed with simulated images which contain a lot of small three dimensional disks randomly distributed in a cubic area. As a result, wedge-shaped features can indicate average of tip angle properly. Further, an outline of three dimensiona … More l distribution of tip angle was reconstructed properly from two dimensional distributions of tip angle derived from images taken from several directions. Second, practical availability of this method was studied with images of real plants. Consequently, this method can detect differences between controlled figures and treated ones properly.Three dimensional distribution of leaf tip angle and three dimensional outline of shape of tomato plants were measured by the method of image measurement based on textural features, and its availability was verified. An algorithm for simplifying the complicated information for efficient transaction was proposed. From discussions on the results, the following conclusions were derived. (1) three dimensional distribution of leaf tip angle and three dimensional outline of shape of tomato plants can be measured separately fairly well especially in upper and younger regions. (2) because crowded leaves in lower and older regions have different tendencies in leaf tip angle between inner layer and outer one, three dimensional measurement is very effective for measuring the proper condition of leaf tip angle. Principal component analysis was applied to obtain understandable indices. The analysis is helpful in understanding the meaning of the shape information. Less

植物的外形特征有望成为反映植物生长状况的有用指标。例如，叶尖角度被认为是内部水势状态的重要指标。然而，人工测量所有叶片的叶尖角是非常困难的。有效的叶尖角度测量方法是必要的。本文提出了一种新的叶片叶尖角图像测量方法，并对该方法的有效性进行了研究。楔形特征是纹理特征的一种，它包含了图像中直线的顶角信息。利用这一特性，提出了一种同时测量叶尖角度平均值和三维分布的方法。首先，用包含大量随机分布在立方体区域中的三维小圆盘的模拟图像证实了该方法的基本有效性。因此，楔形特征可以适当地指示尖端角度的平均值。此外，三维轮廓a ...更多信息 根据从多个方向拍摄的图像导出的尖端角的二维分布适当地重建尖端角的L分布。其次，用真实的植物图像研究了该方法的实用性。采用基于纹理特征的图像测量方法测量了番茄植株叶尖角度的三维分布和形状的三维轮廓，验证了该方法的有效性。提出了一种简化复杂信息以实现高效交易的算法。通过对结果的讨论，得出以下结论。(1)可以相当好地分别测量番茄植株的叶尖角的三维分布和形状的三维轮廓，特别是在上部和较年轻的区域。(2)由于低层和老层密集叶的叶尖角度在内层和外层的变化趋势不同，因此三维测量对于确定叶尖角度的适宜状态是非常有效的。采用主成分分析法获得可理解的指标。该分析有助于理解形状信息的含义。少