Livestock point cloud bidirectional fault region segmentation method and device

A region segmentation and point cloud technology, applied in the field of image processing, can solve the problems of individual difference interference, interference, and affecting the growth process of animals, and achieve high accuracy and high adaptability

Pending Publication Date: 2022-02-08
北京市农林科学院信息技术研究中心
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Problems solved by technology

[0003] The contact-type artificial body measurement of large animals is difficult and time-consuming, and the measurement results are easily affected by factors such as animal body swing, the actual position of the tape measure, and the perceived reading error. It shows that the feed intake of live pigs will be significantly reduced by manual weighing, which proves that the contact measurement process interferes with animals and seriously affects the growth process of animals
[0004] In the calculation of animal body size based on the point cloud after 3D reconstruction, the current method is based on the recognition of "point" position, such as locating the bust cutting point through the extreme point of the pig's backline curve, and calculating the body length parameters of cattle and pigs through the root point of the cow's tail, etc. , the calculation of animal body size parameters by the method of point determination is easily disturbed by animal posture and individual differences, which makes the accuracy of calculation results lower

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  • Livestock point cloud bidirectional fault region segmentation method and device
  • Livestock point cloud bidirectional fault region segmentation method and device
  • Livestock point cloud bidirectional fault region segmentation method and device

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[0027] In order to make the objects, technical solutions, and advantages of the present invention, the technical solutions in the present invention will be apparent from the drawings of the present invention, and it will be described in connection with the drawings of the present invention. , Not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained without creative labor are not made in the premise of creative labor.

[0028] "Point Cloud Area" has a richer semantic information than "Point" feature or "line" feature. In order to realize the size of the health of the livestock such as cows and pigs, the differences of different attitudes of livestock such as cattle and pigs on the measurement results, the present invention extracts the "point cloud area" as a core operator, and proposes a "Bidirection" Laboratual dices of livestock dots. The present invention will be described as an example of livestock such as pigs and cows, but it

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Abstract

The invention provides a livestock point cloud bidirectional fault region segmentation method and device, and the method comprises the steps: determining the main direction of livestock point cloud data, and carrying out the coordinate system construction of the point cloud data; performing vertical coordinate direction point cloud slice segmentation on the livestock point cloud data, and determining a leg circumference slice interested slice interval; for a plurality of slice point clouds in the interested slice interval of the leg circumference, extracting a clustering result of all points of each slice, and determining effective slices of the leg circumference according to the clustering result; carrying out coordinate system secondary reconstruction according to the position features of the leg circumference effective slices, carrying out transverse point cloud slice segmentation according to the point cloud data after secondary reconstruction, and determining a body size slice point cloud cluster. According to the method, the influence of livestock postures on body size calculation is overcome to a certain extent, the livestock is not required to keep a strictly straight posture, higher adaptability is achieved, interference of animal postures and individual differences is not likely to happen, and therefore the accuracy of a calculation result is higher.

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Owner 北京市农林科学院信息技术研究中心
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