Rapid non-destructive detection device for sugar content and acidity of green plum based on spectral imaging

Abstract

The invention provides a green plum sugar content and acidity fast non-destructive detection device based on the spectral imaging of an acousto-optic turnable filter. The device comprises a light chamber, an imaging system, an image processing and detecting arithmetic unit and a display unit. The light chamber is composed of two parts, namely an upper part and a lower part. The upper part of the light chamber is composed of a hemispherical reflecting housing with an observation hole, and a height adjustment sleeve. The lower part of the light chamber is in the form of a light-proof space. An objective table and a to-be-measured object are arranged in the upper part of the light chamber. A mirror-surface reflecting surface and a light source are arranged in the lower part of the light chamber. The light-transmitting material is arranged between the upper part and the lower part of the light chamber. In the space of the imaging system, the imaging system comprises a high-sensitivity camera and a lens thereof. A filter device for band scanning is arranged between the lens and the camera. The data output end of the high-sensitivity camera is connected with the data input end of the image processing and detecting arithmetic unit. The display signal output end of the image processing and detecting arithmetic unit is connected with the display signal input end of the display unit. The data signal output end of the image processing and detecting arithmetic unit is connected with an external device interface. The device is accurate and objective in detection result and intuitive in expression mode, thereby providing a guarantee method for the supervision over the quality safety during the production, storage, transportation and marketing process of green plums.

Description

technical field [0001] The invention relates to a device for detecting the sugar content and acidity of greengage plums, which collects data by means of spectral imaging based on an acousto-optic tunable filter, displays a spatial distribution map of greengage indexes, and performs statistics and displays pixel position prediction results in the spatial distribution map The pixel detection mean value and distribution range of each index belong to the technical field of non-destructive testing of food objects. Background technique [0002] Green plum is a fruit with high nutritional value, which has unique nutritional characteristics and biological functions. At present, there are mainly two types of high value-added products for deep processing of green plums in my country, making plum essence and making fermented green plum wine. The deep processing products of green plum fruit are different, and the requirements for the composition and characteristics of raw fruit are also...

AI Technical Summary

Problems solved by technology

[0004] The green plum fruit is small in size and has a large surface curvature. When it is irradiated by parallel light, the change of the incident angle causes the radiation intensity of each point on the surface to have a significant difference with the geometric position. In addition, the observation angle changes from the fixed observation point to each point on the spherical surface. It is difficult to obtain a spherical target image with uniform observed brightness, which affects the accuracy of spectral image detection based on the observed brightness of each point in the spectral image of each band

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