ELECTRO-MICROSCOPE BASED 3D PLANT CELL IMAGE PROCESSING METHOD

  • Lee, Choong-Ho (Graduate School of Agriculture, Division of Environment Science & Technology, Dept. of Production Control Engineering, Lab. of Farm Robotics, Kyoto University) ;
  • Umeda Mikio (Graduate School of Agriculture, Division of Environment Science & Technology, Dept. of Production Control Engineering, Lab. of Farm Robotics, Kyoto University) ;
  • Takesi Sugimoto (Graduate School of Agriculture, Division of Environment Science & Technology, Dept. of Production Control Engineering, Lab. of Farm Robotics, Kyoto University)
  • Published : 2000.11.01

Abstract

Agricultural products are easily deformable its shape because of some external forces. However, these force behavior is difficult to measure quantitatively. Until now, many researches on the mechanical property was performed with various methods such as material testing, chemical analysis and non-destructive methods. In order to investigate force behavior on the cellular unit of agricultural products, electro-microscope based 3D image processing method will contribute to analysis of plant cells behavior. Before image measurement of plant cells, plant sample was cut off cross-sectioned area in a size of almost 300-400 ${\mu}$ m units using the micron thickness device, and some of preprocessing procedure was performed with fixing and dyeing. However, the wall structure of plant cell is closely neighbor each other, it is necessary to separate its boundary pixel. Therefore, image merging and shrinking algorithm was adopted to avoid disconnection. After then, boundary pixel was traced through thinning algorithm. Each image from the electro-microscope has a information of x,y position and its height along the z axis cross sectioned image plane. 3D image was constructed using the continuous image combination. Major feature was acquired from a fault image and measured area, thickness of cell wall, shape and unit cell volume. The shape of plant cell was consist of multiple facet shape. Through this measured information, it is possible to construct for structure shape of unit plant cell. This micro unit image processing techniques will contribute to the filed of agricultural mechanical property and will use to construct unit cell model of each agricultural products and information of boundary will use for finite element analysis on unit cell image.

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