Pear fruit stone cell phenotype detection method based on computer image processing

Abstract

The invention discloses a pear fruit stone cell phenotype detection method based on computer image processing. The pear fruit stone cell phenotype detection method comprises the following steps: acquiring a pear fruit section image dyed by phloroglucinol hydrochloride, modulating parameters of the image into a gray value image, segmenting and extracting an image contour by using a threshold value,and counting the number, size and area of stone cells in the image. According to the invention, the number of stone cells can be analyzed; the size and the area of stone cells and the section area ofpear fruits can be analyzed; compared with a traditional hydrochloric acid freezing separation method and an enzymolysis method, the method has the advantages that the working efficiency during stonecell trait measurement is improved, statistical data of stone cell traits is enriched, errors and research cost of manual measurement are reduced, and the method has far-reaching significance in peargermplasm evaluation and breeding.

Description

technical field [0001] The invention belongs to the technical field of pear germplasm resources, in particular to a method for detecting pear stone cell phenotypes based on computer image processing. Background technique [0002] Pear is a perennial woody plant of the genus Pyrus L. in the Rosaceae subfamily Amygdaloideae. It is the third largest fruit tree species in my country. It has a long history of cultivation and a wide range of planting areas. In 2017, my country's pear cultivation area was 960,000 hm 2 , accounting for about 8.3% of the total fruit area in the country, with an output of 16.53 million tons, accounting for about 9.7% of the total fruit output in the country, and the cultivated area and output account for about 2 / 3 of the world. However, because the stone cell content of Asian pear fruit is higher than that of Western pear, especially some traditional cultivars, such as Dangshansu pear, the competitiveness of Chinese pear fruit in foreign markets is w...

AI Technical Summary

Problems solved by technology

Lignified stone cells can be stained purple by phloroglucinol hydrochloric acid solution. Based on this method, the distribution and size of stone cells can be observed, but it is difficult to count

At present, the frozen hydrochloric acid separation method is the most commonly used method to measure stone cell content, but this method cannot completely separate stone cells and pulp, and the operation is complicated

Optical microscopy, transmission electron microscopy and scanning electron microscopy can be used to observe the size and density of stone cells. Although these methods are accurate, they are costly and time-consuming, and are not suitable for germplasm resource research.

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