Non-destructive detection method for hardness of pear

Abstract

The invention relates to a non-destructive detection method for the hardness of a pear. The non-destructive detection method comprises the following steps: measuring a plurality of different types of hyperspectral images of the pear by a hyperspectral imaging system at a visible-near-infrared waveband, correcting by black and white versions, converting the spectral response intensity of each point in the hyperspectral image into unified 0-100% reflectivity images, extracting and coloring the brightness of the image by Labview software, separating different brightness areas, then selecting 10 different points on the same-color area for averaging to represent the reflectivity of the whole pear, combining a reflectivity curve of the pear to extract reflectivity information of each waveband, extracting a characteristic waveband by a PCA, measuring an actual value of the hardness of the pear by a national standard method, establishing a regression model by a PLS algorithm, obtaining various regression equations, and according to the regression equations, calculating the hardness of the pear by measuring a spectrogram of the measured pear. The non-destructive detection method can be widely applied to quality detection of the pear, and the detection process is convenient, fast, non-destructive and accurate.

Description

technical field [0001] The invention relates to a method for detecting fruit hardness, in particular to a method for nondestructively detecting the hardness of pears based on visible-near-infrared hyperspectral imaging technology. Background technique [0002] Pears are a popular fruit all over the world. The internal quality of pears directly affects the value of pears. In the past, the method of measuring the hardness of pears was to destroy the pears with a hardness tester. This is also the national standard method for measuring fruit hardness in China. . But these methods all can produce damage to pear, cause unnecessary loss and waste, and measurement trouble, accuracy rate is low. [0003] Hyperspectral imaging technology has developed rapidly in recent years and has been widely used in remote sensing detection, biomedicine, food safety and other fields. It scans the surface of the object to obtain the reflection spectrum of the object, and through the extraction and...

AI Technical Summary

Problems solved by technology

[0005] The present invention aims at the problem that measuring the hardness of pears is easy to cause damage to pears, and proposes a non-destructive detection method for the hardness of pears, which involves visible-near-infrared hyperspectral imaging technology. The reflection spectrum of the pear surface is measured by the hyperspectral imaging system. Combining principal component analysis PCA and partial least squares method PLS algorithm to establish a regression model to obtain a regression function, the hardness of the pear can be calculated according to the regression model by measuring the reflection spectrum of the pear, and the hardness of the pear can be detected quickly and non-destructively

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