Quantitative Extraction and Visualization of Plants Growth by Using Spatio-Temporal Projection Images

• KUSUOKA Mariko

  Tokyo University of Agriculture and Technology

• TANABATA Takanari

  National Institute of Agrobiological Sciences

• FURUYA Tadasuke

  Tokyo University of Marine Science and Technology

• SAITO Takafumi

  Tokyo University of Agriculture and Technology

Bibliographic Information

Other Title

• 時空間投影画像を用いた植物生長量の抽出
• ジクウカン トウエイ ガゾウ オ モチイタ ショクブツ セイチョウリョウ ノ チュウシュツ

Abstract

This paper describes a method to extract quantitative growth information of plants from time-series images recorded by a fixed camera for about two weeks. The growth information can be visualized as a growth curve in a still image by spatio-temporal projection. To obtain the quantitative growth information from the still image, the growth curve is extracted with dynamic programming. The extraction process is semi-automatic. The user just needs to specify two end points roughly on the spatio-temporal projected image and the system extract the growth curve automatically. If it is out of alignment, the user can correct it by specifying additional points on the growth curve or by eliminating noises on the time-series images and re-projecting. For the time-series images of two seedlings in a test tube, the growth information of both seeds can be extracted by using horizontal position information.

Journal

• The Journal of the Institute of Image Electronics Engineers of Japan

  The Journal of the Institute of Image Electronics Engineers of Japan 40 (5), 808-814, 2011

  The Institute of Image Electronics Engineers of Japan

Keywords

• spatio-temporal image analysis
• plant growth analysis
• visualization
• dynamic programming

Details

• CRID: 1390001204611352832
• NII Article ID: 10029794890
• NII Book ID: AN00041650
• DOI: 10.11371/iieej.40.808
• ISSN: 13480316
• ISSN: 02859831
• NDL BIB ID: 11288757
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I11288757
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed