Auxiliary discrimination method for green channel products based on support vector machine

Abstract

The invention discloses a green channel product auxiliary discriminating method based on a support vector machine. The method includes the steps that after linear transformation is performed on a collected green channel vehicle radiation image, a Canny operator is adopted for edge detection; local textural features in an edge area are extracted through a gray level co-occurrence matrix and serve as input features of the support vector machine; a support vector machine model which passes through training and has season features and regional features is adopted for recognizing green channel products in a classified mode; a user has a final decision-making and discriminating right for recognition results, and the recognition results serve as samples used for follow-up training. The category of the products loaded by the current vehicle is automatically recognized through the radiation image, so that detection accuracy of a green channel is improved, and the workloads of an image detector are reduced.

Description

technical field [0001] The invention relates to the fields of image processing and pattern recognition, in particular to an auxiliary discrimination method for green channel products based on a support vector machine. Background technique [0002] Radiation imaging technology is widely used in security inspection fields, such as railway stations, airports, docks, etc. The above-mentioned applications generally have the characteristics of fast flow, heavy workload and high real-time requirements. With the development and maturity of radiation imaging technology, the quality of radiation images is getting higher and higher, and radiation images can present more and more detailed information of inspected items, which greatly helps security inspection work. [0003] In order to establish a smooth and convenient circulation network of fresh agricultural products, support the transportation and marketing of fresh agricultural products, and increase farmers' income, the state has ...

AI Technical Summary

Problems solved by technology

However, the existing judgment on the legality of Lutong products is mainly through the observation and judgment of radiation images, which depends on the experience and responsibility of the inspectors, and has a lot of subjectivity

In the case of large traffic passing vehicles, it will bring a lot of pressure to the work of the map inspector

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