Image processing-based method for measuring ear length of multiple rice plants

Abstract

The invention discloses a method for measuring the ear length of multiple rice plants based on image processing. The method comprises the following steps: S1, photographing to-be-measured rice so as to obtain a rice image, and recording the image as jpg1; s2, performing image geometric correction processing on the image jpg1 to obtain an image jpg2; s3, performing illumination compensation processing on the image jpg2 obtained in the step S2, performing binaryzation on the image by using an Otsu method OTSU, segmenting a single rice plant into two parts from a binary image by using an image segmentation technology, and reserving the part containing the rice spike length to obtain an image jpg3; and S4, carrying out morphological expansion processing on the graph jpg3, then carrying out contour extraction, carrying out calculation by utilizing a Zhang skeleton quick parallel refining algorithm, and recording a result graph as a graph jpg4. The digital processing technology is applied toautomatic rice ear length measurement in the agricultural field, manual measurement and cumbersome instrument analysis are replaced, the labor cost and the equipment cost are saved, and the working efficiency is greatly improved.

Description

technical field [0001] The invention relates to the technical field of computer image processing, in particular to a method for measuring the ear length of multiple rice plants based on image processing. Background technique [0002] The length of the rice ear determines the number of grains it can accommodate, thereby determining the yield of rice. Therefore, the length of rice panicle is one of the most important parameters for evaluation in rice yield-related studies; the definition of panicle length is the length from the panicle neck node to the panicle tip (without awn). However, the traditional method of measuring ear length is still manually measured. During the measurement, the rice should be straightened first, and then the ruler should be used to measure. Because the people's long-term measurement will cause fatigue, the result of the measurement is inaccurate, and Long-term measurement is very slow and consumes a lot of manpower and material resources. LemnaTec...

AI Technical Summary

Problems solved by technology

However, the traditional method of measuring ear length is still manually measured. During the measurement, the rice should be straightened first, and then the ruler should be used to measure. Because the people's long-term measurement will cause fatigue, the result of the measurement is inaccurate, and Long-term measurement is very slow and consumes a lot of manpower and material resources

LemnaTec, a German company, has done some work on automatic measurement of ear length abroad, but their method does not identify the neck node of the ear, so what is measured is not the ear length in the traditional sense. Domestically, it is better. Professor Liu Qian of Huazhong University of Science and Technology developed in 2013 the use of dual-camera imaging technology to automatically obtain the ear length of rice. It is huge, inconvenient to operate, inconvenient to install, and the efficiency of measurement is not very high. In order to solve the shortcomings of the above-mentioned existing technologies, the present invention focuses on how to better apply image processing technology to the ear length measurement of rice. Among them, it has been applied in Android mobile phones now. It is very convenient to take pictures with mobile phones. You only need to provide a special background board to identify the ear length of rice by taking photos with your mobile phone. It can process the ear length of 5 rice plants at a time. 3 seconds

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