Edge detection and processing method of plant root image based on joint wavelet transform

Abstract

The root system of the plant has the function of conserving water source, absorbing nutrients and preventing wind and sand fixation. The outline of the plant root system is an important parameter, which can extract the characteristics of the diameter and length of the plant root system. Therefore, it is very important to find a fast and accurate method for detecting the edge of plant root system. In this paper, the classical edge detection operator method is combined with the image sharpening and enhancement processing method of wavelet transform for edge detection, and Sobel operator and Canny operator are selected for edge detection in spatial domain. The wavelet transform was used for high-pass filtering in the frequency domain to sharpen and enhance the image, and Labelme software was used for image contour annotation. This paper proposed method can extract the edge contour more accurately.

Plant phenotyping relevance

植物根系画像から輪郭を抽出し、根径・根長などの形態形質取得に用いる画像処理法の開発が中心であるため。

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