Seed potato dicing method based on point cloud model
A point cloud model, potato technology, applied in seed and rhizome processing, image data processing, image enhancement, etc., can solve problems such as the spatial distribution characteristics of difficult bud eyes
Inactive Publication Date: 2019-09-20
CHINA AGRI UNIV
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However, seed potato is an object with a three-dimensional structure, and the two-dimensional coordinates in the color image are difficult to truly reflect the spatial distribution characteristics of the bud eyes on the surface of the seed potato
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[0048] 1. According to the distribution density of bud eyes in the three-dimensional coordinates of bud eyes and the solution of split plane
[0049] It is known that the mass M of a seed potato sample is 170g. Based on the point cloud model statistics of the sample, the total number of bud eyes is 14, and the three-dimensional coordinates of each bud eye are obtained at the same time, as shown in the attached figure 1 shown. In step 1, the initial value of the quality of each bud block is m=35g, and the initial value of the number of bud eyes of each bud block is n=2, according to step 1, the seed potato is to be divided into bud blocks and each bud block The distribution of the number of bud eyes contained in the block; then according to method one (the three-dimensional coordinate distribution method based on the longitudinal distribution density of bud eyes), the three-dimensional coordinates of the bud eyes on each bud block to be divided are assigned, as shown in Table 1...
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The invention relates to a method for processing seed potatoes. The method comprises the steps of 1, performing distribution based on the mass of the seed potatoes and the total number of bud eyes according to the requirements for dicing the seed potatoes to obtain the number of to-be-cut bud blocks and the number of the bud eyes contained in each bud block; 2, according to the number of the bud eyes contained in each bud block, adopting two distribution approaches according to the coordinate proximity principle, and sequentially distributing three-dimensional coordinates of the bud eyes separately; 3, solving segmentation surfaces according to the three-dimensional coordinates of the corresponding bud eyes on every two adjacent bud blocks distributed in step 2; 4, determining a dicing approach to be implemented on the seed potatoes. The method fully utilizes the characteristic that a point cloud model can embody the three-dimensional spatial structures of the seed potatoes and the spatial distribution of the surface bud eyes; the number of the bud blocks and bud eyes and the three-dimensional coordinates of the bud eyes are distributed according to the requirements for dicing the seed potatoes, a segmentation surface equation is solved, bud block segmentation of the seed potatoes can be realized by utilizing the obtained segmentation surfaces, and a theoretical foundation is laid for intelligentized dicing of the seed potatoes.
Description
technical field [0001] The invention relates to a method for processing seed potatoes, in particular to a method for cutting seed potatoes based on a point cloud model. Background technique [0002] Potato seed cutting is the process of dividing a complete seed potato tuber into multiple buds according to the quality of the seed potato and the distribution of the surface bud eyes. According to production experience and literature research, the requirements for dicing potato seed potatoes are as follows: the quality of each bud block obtained by dicing is not less than 25 grams (generally take a value within the range of 25-45 grams), and the bud block contains at least 2 bud eyes to ensure the normal reproductive capacity of the bud block. Cutting the seed potatoes into pieces and then sowing can make full use of the bud eyes on the seed potatoes, save the amount of seeds used, and improve economic benefits while ensuring the output. [0003] With the development of potato...
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IPC IPC(8): A01C1/00G06T7/11
CPCA01C1/00G06T7/11G06T2207/10028
Inventor 谭彧田芳刘星星吕昊暾李宝胜杨圣慧
Owner CHINA AGRI UNIV