A method and system for measuring plant leaf area based on color calibration

Abstract

The invention relates to a method and a system for measuring plant leaf area based on color calibration. The method comprises the following steps: adopting a camera to collect an initial image of a leaf to be measured on a white calibration board, and extracting a measurement area image according to the initial image; performing color calibration on the measurement area image to obtain a difference matrix between the measurement area image and the ideal image of the leaf to be measured, and obtaining the ideal image according to the difference matrix; performing image processing on the ideal image to obtain pixel points of a leaf image in the ideal image; calculating the area of the leaf to be measured according to a pixel point of the leaf image and an actual area of the measurement areaimage on the white calibration board. The method of the invention inherits the advantages of the image measurement method, eliminates the interference of the environmental illumination factor, is fast, and has high environmental adaptability, high stability and high precision.

Description

technical field [0001] The invention relates to the field of plant leaf area measurement, in particular to a method and system for measuring plant leaf area based on color calibration. Background technique [0002] Leaf is the main organ for photosynthesis in plants, and leaf area is an important factor to measure some plant mechanisms such as plant photosynthesis. Accurate measurement of leaf area is of great significance to the study of plant growth and the interaction between plants and the growth environment. The measurement of plant leaf area has changed from the original traditional means to the use of computer image processing technology to detect leaf area, and the measurement accuracy and reliability have been greatly improved. [0003] The methods of measuring leaf area using computer technology can be roughly divided into image measurement method, photoelectric scanning method, and three-dimensional point cloud method. The image measurement method that collects i...

AI Technical Summary

Problems solved by technology

The image measurement method that collects images through a camera and digitally processes the image data is a relatively convenient method; however, this method has low precision, is easily disturbed by environmental factors such as light, and has complex algorithms and poor adaptability. Rough measurement of leaf area

Using photoelectric devices, such as scanners, to scan and image leaves, the quality of the image data obtained is high, especially the background of the image is pure white, and a relatively simple algorithm can also obtain high-precision measurement results; but the shape of this type of equipment is similar to scanning The instrument is large in size and difficult to measure the leaf area in outdoor farmland. It is generally used in the laboratory. It is also difficult to store the leaves on the way back to the laboratory when they are picked and transported. Loss of water causes the leaves to shrink and curl, resulting in measurement errors.

The 3D point cloud method uses kinect or lidar equipment to collect 3D point cloud morphological information of plants. This type of equipment can obtain rich plant phenotype data; however, this method has more noise interference and has a greater impact on high-precision measurement of leaf area. Moreover, the algorithm is complicated, the operation is difficult, the cost is high, and it is difficult to popularize

When used in outdoor farmland, especially under the interference of complex environmental light, the color of the leaf itself is biased during the image acquisition process, resulting in measurement errors in RGB and other color model processing algorithms.

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