Device and method for identifying massive agricultural product on line on basis of PCA (Principal Component Analysis)

Abstract

The invention discloses a device and a method for identifying a massive agricultural product on line on the basis of PCA (Principal Component Analysis). The method comprises the following steps of: (1) calculating a characteristic space of a standard massive agricultural product according to PCA, extracting main features and calculating feature parameters of the main features; and (2) acquiring a feature vector consisting of geometrical features and moment invariant features of the massive agricultural product to be identified, and carrying out on-line identification on the feature parameters in the step (1). According to the device and the method, the grading to massive agricultural products of the traditional method is realized, the result is more objective and impartial, and the system real-time performance is high; and moreover, human body health and sanitary conditions of the massive agricultural products cannot be damaged.

Description

technical field [0001] The invention relates to the field of on-line quality detection in an automated production process, in particular to a PCA-based on-line recognition device and method for massive agricultural products. Background technique [0002] Non-destructive classification and identification of lumpy agricultural products refers to the detection of external quality parameters such as color, size, and shape of lumpy agricultural products without touching or destroying lumpy agricultural products. have a decisive influence. PCA: Principal Component Analysis (PCA) is a statistical analysis method to grasp the main contradiction of things. It can analyze the main influencing factors from multiple things, reveal the essence of things, and simplify complex problems. [0003] Machine vision is a comprehensive technology that integrates machinery, control, lighting, optics, computer software and hardware, etc. It involves many fields such as computer, image processing, ...

AI Technical Summary

Problems solved by technology

Sensory evaluation is to sort qualified and unqualified lumped agricultural products by judging the size, color, shape and other appearance characteristics of the lumped agricultural products one by one by trained professional sorting personnel, but human sensory organs Sensitivity is interfered by factors such as experience, mental state, physical condition, and surrounding environment, and long-term tedious repetitive work is likely to cause visual fatigue, thereby affecting the accuracy of the sorting results

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