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Fish tenderness hyperspectral detection method based on characteristic wave band

A detection method and a technology of characteristic bands, applied in the direction of color/spectral characteristic measurement, measurement device, material analysis through optical means, etc., can solve the problems of hyperspectral imaging technology to detect fish tenderness, shorten hyperspectral acquisition, avoid The interference of human factors and the effect of simple detection process

Inactive Publication Date: 2013-08-21
SOUTH CHINA UNIV OF TECH
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Problems solved by technology

After searching, so far, there is no report on the use of hyperspectral imaging technology to detect fish tenderness in China

Method used

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  • Fish tenderness hyperspectral detection method based on characteristic wave band
  • Fish tenderness hyperspectral detection method based on characteristic wave band

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Embodiment

[0039] The visible and near-infrared hyperspectral imager used in the hyperspectral detection method for fish tenderness based on characteristic wavebands of the present embodiment is as follows: figure 1 As shown, it includes a computer 1, an image acquisition card 2, a camera 3 (using a linear array detector as a sensitive element), an image spectrometer 4, a lens 5, two symmetrically placed halogen lamps 6, a movable stage 7 and a camera obscura 8 , in which the camera and the image spectrometer are directly connected, they and the halogen lamp are fixed inside the camera obscura, the image acquisition card is fixed inside the computer, there is a movable stage inside the camera obscura, and the computer controls the transmission speed of the movable stage.

[0040]Among them, the resolution of the image spectrometer is 1024×256 (pixel×band), and the working spectral range is 400-1000nm. The hyperspectral image acquisition is to take pictures of the fish samples in the dark...

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Abstract

The invention discloses a fish tenderness hyperspectral detection method based on a characteristic wave band. The detection method comprises the following steps of: firstly, detecting fish tenderness according to the conventional detection method; then, with fish as a sample set, utilizing a near-infrared hyperspectral imager to carry out nondestructive detection on the fish, establishing a multi-element linear regression model of the tenderness and a characteristic wavelength, detecting a fish sample, and calculating the tenderness of fish sample according to the multi-element linear regression model of the tenderness and the characteristic wavelength. The fish tenderness hyperspectral detection method provided by the invention has the advantages that the fish tenderness is rapidly detected in an optimized manner through the characteristic wave band, the time of hyperspectral collection, detection and data analysis is greatly shortened, the detection efficiency is improved, and the fish tenderness hyperspectral detection method really provides theoretical support and research basis for on-line, rapid and nondestructive detection of food quality.

Description

technical field [0001] The invention relates to a rapid nondestructive detection method for fish tenderness, in particular to a hyperspectral detection method for fish tenderness based on characteristic wavebands. Background technique [0002] China is a big fishery country, and its total output of aquatic products accounts for a quarter of the world's total. As the world's largest producer and exporter of tilapia, tilapia has become my country's most internationally competitive and most industrialized aquatic product species. Tilapia has delicious meat, rich nutrition, especially high protein content, which is deeply loved by people. With the improvement of living standards, people began to pay attention to the edible quality of fish. As one of the main edible qualities of fish, tenderness has attracted more and more attention, and it is also the most commonly used indicator for consumers to judge the quality of meat. The tenderness of fish is affected by many factors an...

Claims

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Application Information

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IPC IPC(8): G01N21/35G01N21/3563G01N21/359
Inventor 孙大文刘丹曾新安蒲洪彬王启军
Owner SOUTH CHINA UNIV OF TECH
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