Method and device for measuring physiological parameters of peanut seeds based on CT (Computed Tomography) image

Through three-dimensional reconstruction technology based on CT images, the accuracy and efficiency of the measurement of physiological parameters of peanut seed particles are solved, high-precision automated measurement is realized, and internal structural characteristics and multiple physiological parameters are obtained.

CN119643605AActive Publication Date: 2025-03-18HENAN ZHONGYU ARTIFICIAL INTELLIGENCE TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510139115.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-08
Publication Date
2025-03-18
Estimated Expiration
2045-02-08

AI Technical Summary

Technical Problem

The prior art is difficult to realize high-precision automated measurement of physiological parameters of peanut seed particles, especially when acquiring internal structural features and multiple physiological parameters.

Method used

Using a measurement method based on CT images, a three-dimensional image of peanut seed particles was obtained through CT tomography, combined with image segmentation algorithm and triangular mesh segmentation algorithm, three-dimensional reconstruction and parameter extraction were performed, and physiological parameters such as length, width, height, surface area, volume and void proportion were calculated.

Benefits of technology

It realizes high-precision automated measurement of physiological parameters of peanut seeds, breaks through the limitations of traditional manual measurement, and improves the accuracy and efficiency of measurement.

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Abstract

The embodiment of the invention provides a peanut seed physiological parameter measurement method and device based on a CT image, and the method comprises the steps: collecting a CT scanning sequence of peanut seeds, and obtaining a binary image of fruit and legume regions through an image segmentation algorithm; pixel coordinates are innovatively converted into three-dimensional physical coordinates, and accurate three-dimensional reconstruction is realized by adopting a triangular mesh generation algorithm. Length, width and height parameters are obtained through spatial analysis of a long axial vector, a short axial vector and a normal vector, the surface area is calculated in combination with a curved surface mesh model, the volume and gap ratio are obtained through depth dimension integration, the limitation of traditional manual measurement is broken through, and high-precision automatic measurement of the physiological parameters of the peanut seeds is achieved.
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