Method for dividing plant root system image based on color characteristic

Abstract

The invention relates to a method for separating plant root system images based on color features and belongs to the phytophysiology and intelligent information processing technology field. The method is used for separating a root system as a whole region from the background so as to identify the root system and measure the geometric parameters thereof. According to the features of an acquired root system image, the method adopts an HSV color model. As to a root image with single color background, the back region and the root system region are obviously different at the H value. According to the difference, dual threshold is properly set, so that the root system region and the background region are separated, and the root system is separated from the background.

Description

technical field [0001] The invention relates to a method for segmenting plant root images based on color features, which belongs to the technical field of plant physiology and intelligent information processing. The method is used to segment the root system as a whole area from the background, so that the root system can be identified and its geometric parameters can be measured . Background technique [0002] In the study of plant root biology, understanding the structure of the root system is one of the most important links. The results of fractal analysis on 2D and 3D images of root system show that the relationship between the 3D structure of plants and the 2D images is close. The measurement of the structure of the root system generally adopts the root washing method, that is, the root system growing in the soil dilutes the surrounding soil with water, and then the soil attached to the root system is washed away, and then the root system structure is measured. This me...

AI Technical Summary

Problems solved by technology

Neither are suitable for root image segmentation

Images