Hyperspectral image based overripe Lonicera edulis fruit identification method

Abstract

The invention relates to a hyperspectral image based overripe Lonicera edulis fruit identification method. The method comprises the following steps: 1, acquiring a hyperspectral image of a Lonicera edulis fruit; 2, sampling fruit and background pixels in the hyperspectral image, analyzing and providing an image background removal function model; 3, removing the image background according to the functional model established in step 2; 4, adopting a median filtering, morphological filtering, spatial processing and threshold determining method to remove noises and determine the position of the fruit; 5, sampling pixels of an overripe fruit and a ripe fruit, selecting a most discriminative waveband through a stepwise forward variable selection method, and adopting a linear discriminant analysis method to establish and discriminate the function models of the overripe fruit pixel and the ripe fruit pixel; 6, classifying all fruit pixels according to the discrimination models established in step 5, and respectively marking; and 7, adopting a majority principle to classify all the fruits. The identification method utilizes the spectral information of objectives and also utilizes the spatial information of fruits, so the discrimination rate is improved.

Description

technical field [0001] The invention relates to the field of infrared spectrum identification, in particular to a hyper-spectral image-based identification method for overripe indigo fruit. Background technique [0002] Indigo fruit is a perennial deciduous shrub, and its fruit has high nutritional value, containing ash, protein, fat, tannin, pectin, volatile acid, vitamins and phosphorus and other elements, especially the high content of vitamin C, and it is also Contains 7 kinds of amino acids and various trace elements that humans must obtain from food. Fresh fruit can be eaten raw, and it is also a good raw material for brewing fruit wine and beverages, and is a rare natural pigment. Its berries can also be used as medicine, which has the effect of clearing away heat and detoxifying. The indigo fruit harvested by the mechanical vibrating picking device includes unripe red and cyan fruits, and just ripe and overripe dark blue fruits. Among them, unripe red and cyan fru...

AI Technical Summary

Problems solved by technology

Among them, unripe red and cyan fruits can be judged by ordinary RGB image processing methods; overripe fruits have the same surface color as ripe fruits, and cannot be distinguished by the above method

However, overripe fruit is soft and easily damaged during transportation, resulting in the leakage of pulp and affecting other normal fruits, reducing its market value

At present, the commonly used method is to manually judge the hardness of the fruit with fingers, and pick out the soft fruit, which is a heavy workload and low efficiency.

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