Apple interior and exterior quality fast nondestructive testing method based on hyperspectral imaging technology

A hyperspectral imaging and non-destructive testing technology, applied in color/spectral characteristic measurement, image enhancement, image analysis, etc., can solve the problems of lack of competitiveness, low efficiency, time-consuming and labor-consuming, etc., and achieve simple and convenient operation and high detection accuracy High, fast detection effect

Active Publication Date: 2017-03-22
SHENYANG AGRI UNIV
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AI Technical Summary

Problems solved by technology

[0002] Apple is one of the varieties with the largest planting scale in my country, and its output ranks first in the world, but it is not a powerful country in apple trade, and the import price is much higher

Method used

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  • Apple interior and exterior quality fast nondestructive testing method based on hyperspectral imaging technology

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Embodiment 1

[0028]1) Use the hyperspectral imaging system to collect apple map information;

[0029] 2) Analyze the characteristics of the apple spectral curve and analyze the spectral data;

[0030] 3) Determine the single-band image, use the quadratic maximum between-class threshold segmentation algorithm to perform threshold segmentation on the single-band image, segment the apple and the background, and obtain the hyperspectral image of the apple; mask the hyperspectral image of the apple;

[0031] 4) Carry out the second maximum inter-class threshold segmentation on the apple hyperspectral image after the mask, and extract the apple disease area, pest area, fruit stem / calyx area, and normal area in the apple hyperspectral image;

[0032] 5) Corrosion and expansion operations are performed on the segmented apple disease area, insect area, fruit stem / calyx area, and normal area; determine the pixel position of the area of ​​interest such as the disease and insect pest area, calyx area,...

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Abstract

The invention provides an apple interior and exterior quality fast nondestructive testing method based on the hyperspectral imaging technology. Apple spectrum information is collected through a hyperspectral imaging system, features of an apple spectrum curve are analyzed, and spectrum data is analyzed; then, single-band images are determined and subjected to secondary threshold segmentation, corresponding areas are extracted, and spectrum curves of the corresponding areas are extracted; a secondary continuous projection algorithm is disclosed according to apple exterior features like diseases and pests to extract a feature wavelength set SP1; a multi-parameter continuous projection algorithm is disclosed according to apple interior features like sweetness and hardness to extract a feature wavelength set SP2; finally, the feature wavelength set SP1 of apple interior quality and the feature wavelength set SP2 of apple exterior quality are fused, and apple interior and exterior quality fast nondestructive detection is achieved through a BP neural network. The method is easy and convenient to operate, high in detection speed and high in detection result precision, and apples are not damaged.

Description

technical field [0001] The invention belongs to the technical field of fruit non-destructive detection, in particular to a fast non-destructive detection method for internal and external quality of apples based on hyperspectral imaging technology. Background technique [0002] Apple is one of the varieties with the largest planting scale in my country, and its output ranks first in the world, but it is not a powerful country in apple trade, and the import price is much higher than the export price. It is time-consuming, labor-intensive, and inefficient, so it cannot meet the needs of mass production, lacks competitiveness in the international market, and cannot meet domestic high-end needs. Therefore, it is urgent to develop fast, nondestructive, intelligent and efficient postharvest quality detection technology, promote the healthy development of fruit postharvest treatment in the direction of high quality, standardization and industrialization, and guide apple consumption w...

Claims

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Application Information

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IPC IPC(8): G01N21/25G06T7/136G06T7/194
CPCG01N21/255G06T2207/10004G06T2207/20081G06T2207/20084
Inventor 田有文张芳刘思伽冯迪
Owner SHENYANG AGRI UNIV
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