Hyperspectral-image-technology-based multi-quality nondestructive testing method for dried green soybeans
A hyperspectral image and non-destructive testing technology, applied in the direction of color/spectral characteristic measurement, etc., can solve the problems of difficult and large sample detection, time-consuming detection, damage to samples, etc., and achieve good real-time performance, high reliability, and simple operation.
A hyperspectral image and non-destructive testing technology, applied in the direction of color/spectral characteristic measurement, etc., can solve the problems of difficult and large sample detection, time-consuming detection, damage to samples, etc., and achieve good real-time performance, high reliability, and simple operation.
CN103344575AActive Publication Date: 2013-10-09JIANGNAN UNIV
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[0019] Preferred embodiments of the present invention will be described below in conjunction with specific drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.
[0020] like figure 1 As shown: the present invention includes a computer 1, a CCD controller 2, a CCD digital camera 3, a spectrometer 4, a focusing lens 5, dried edamame 6, a black carrier plate 7, an electric platform 8, a power supply 9, a quartz halogen tungsten lamp 10, and an optical fiber 11. Linear light source 12 and lighting room 13.
[0021] like figure 1 Shown: CCD controller 2, CCD digital camera 3, spectrometer 4, focusing lens 5, linear light source 12 and motorized platform 8 are all arranged inside the daylighting room 13, avoiding the interference of external light source; Described CCD digital camera 3 covers The wavelength is 400-1000nm; the spectral resol...
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The invention relates to a hyperspectral-image-technology-based multi-quality nondestructive testing method for dried green soybeans. According to the technical scheme, the method comprises the steps of: a. selecting dried green soybeans; b. collecting hyperspectral images of the dried green soybeans by utilizing a hyperspectral image collecting system; c. extracting contour information of the dried green soybeans by utilizing a threshold segmenting method; d. extracting image entropy characteristic parameters by utilizing the obtained contour information; e. collecting the color, moisture rate, hardness and shrinkage rate indexes of the dried green soybeans by utilizing a destructive instrument; f. constructing an evaluation prediction model of the dried green soybeans by utilizing a partial least-squares regression algorithm; g. collecting the hyperspectral images of the dried green soybeans and inputting the hyperspectral images of the dried green soybeans to the evaluation prediction model to obtain the evaluation results on the color, moisture rate, hardness and shrinkage rate indexes of the dried green soybeans. Through the evaluation prediction model and the hyperspectral image collecting system, a multi-quality evaluation result can be obtained under the situation of being nondestructive for the majority dried green soybeans; the hyperspectral-image-technology-based multi-quality nondestructive testing method is easy to operate, good in real-time property and high in reliability.
Description
technical field [0001] The invention relates to a method for non-destructive detection of dry soybean quality, in particular to a method for synchronous non-destructive detection of multiple quality indicators of dried soybean based on hyperspectral image technology. Background technique [0002] Edamame (edamame) is a kind of soybean (Glycine Max (L.) Merr.), also known as vegetable soybean or green soybean. Because edamame is rich in protein, vitamins, dietary fiber, carotene and other nutrients that are beneficial to the human body, it is more and more favored by consumers. Edamame is very easy to yellow after picking. In order to prolong the storage and shelf life of edamame kernels, edamame can be made into a snack food with a unique flavor by drying. Due to the diversity of drying methods, the quality detection of dried edamame is extremely important. The quality inspection indicators of dried edamame samples mainly include the detection of color, moisture content, h...
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Patent Timeline
09 Oct 2013
Publication
CN103344575A
- IPC
- G01N21/25
- Inventors
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