Reconstruction of Inner Worm Passage of Quercus Mongolica Seeds

Authors

  • He Zhang Student, Department of Chemistry Technology, Yanbian University, CHINA

DOI:

https://doi.org/10.31033/ijemr.9.5.1

Keywords:

Quercus Mongolica, Canny Edge Detection, Hough Line Detection, RGB Screening Algorithm, Image Segmentation Model, Worm

Abstract

This paper takes Quercus mongolica as an example, In order to determine the position of insects inside the Quercus mongolica seed. The seeds of Quercus mongolica were cut at a certain thickness to obtain an internal cross-sectional image of the seeds. In this paper, Canny and Hough algorithm are used to perform edge detection and line detection on unprocessed images, and determine the coordinate origin of the study area so that all study areas are in the same coordinate range. In order to obtain the position information of the insect path, based on the RGB principle, this paper designs a screening algorithm for the pixel points in the study area, and obtains the position information of the insect track. In order to observe the insect path more intuitively, this paper establishes a three-dimensional data model, and uses MATLAB to draw a three-dimensional structure diagram of the position information of the insect path, and shields the interference items such as seed germ to obtain a more accurate movement track of the insect.

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Published

2019-10-31

How to Cite

He Zhang. (2019). Reconstruction of Inner Worm Passage of Quercus Mongolica Seeds. International Journal of Engineering and Management Research, 9(5), 1–4. https://doi.org/10.31033/ijemr.9.5.1