Leaf image color correction method and device monitoring growth of seedlings

Abstract

The invention provides a leaf image color correction method and device monitoring grow of seedlings. The leaf image color correction method comprises steps of obtaining a first RGB color value of an image color after standard color correction at a preset moment, wherein the preset moment is a shooting moment when an image color distortion degree of a corrected standard color image is minimal, obtaining a second RGB color value of the image color after standard color correction at any moment, obtaining a correction coefficient according to a first RGB color value and a second RGB color value and performing correction on a color of a seedling leaf image of any moment according to the correction coefficient. The leaf image color correction method and device monitoring the growth of the seedling can perform correction on the colors of the images of the seedling leaves photographed at different moments so as to maintain the colors of the images of the seedling leaves which are photographedin different moments a same degree and keep a minimal color distortion and guarantee accuracy of analysis of the seedling growth.

Description

technical field [0001] The invention relates to the technical field of image processing, and more particularly, to a method and device for correcting the color of a leaf image aimed at monitoring the growth of rice seedlings. Background technique [0002] As a big vegetable production and consumption country in China, the annual demand for vegetable seedlings is about 680 billion plants, of which the replanting rate due to inferior seedlings and seedling shortages is as high as 5%-10%, and the growth status of seedlings in seedbeds is judged and managed manually. Due to problems such as high labor intensity, lack of unified standards, and increased risk of pest transmission, the realization of automatic implementation of fruit and vegetable seedbed monitoring and management is of great significance to the sustainable development of my country's fruit and vegetable industry. [0003] High-quality seedlings are the basis for high-quality and high-yield fruits and vegetables. It...

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Problems solved by technology

[0004] However, the unsatisfactory lighting conditions of the seedling leaves will lead to serious distortion of the color of the captured images of the seedling leaves, which will affect the judgment of the growth status of the seedlings; more importantly, the lighting conditions of the seedling leaves are affected by changes in sunlight and are dynamic over time. Fluctuation changes cause that at different times, when the images of the seedling leaves are taken, the light conditions of the seedling leaves are different, which leads to different degrees of color distortion of the images of the seedling leaves taken at different times. The color of the image of the seedling leaf is taken, so the color of the image of the seedling leaf taken at different times has different degrees of distortion, which affects the accuracy of the analysis of the growth status of the seedling

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