Method for identifying mutual information of cotton foreign fiber

Abstract

The invention relates to a method for identifying mutual information of cotton foreign fiber, comprising: performing classified statistics on the read cotton foreign fiber image in aspects of area and category to obtain foreign fiber fixed scanning background; performing pretreatment on the image to improve contrast ratio of the cotton foreign fiber image; performing precise identification on hairs, colored polypropylene fiber silk and plastic sheets which are easy to identify; performing intact piece information extraction on foreign fiber which is not identified; identifying the extracted intact piece foreign fiber; and performing and calculating mutual information treatment on the identified intact piece cotton foreign fiber image. The identification method can improve preciseness, periodicity and timeliness of foreign fiber detection, improve detection rate and effectively reduce harm of foreign fiber.

Description

technical field [0001] The invention relates to a mutual information identification method for cotton foreign fibers, belonging to the field of cotton foreign fiber inspection. Background technique [0002] Foreign fibers in cotton refer to non-cotton fibers and colored fibers that are mixed into cotton during the production, processing and circulation of raw cotton and have a serious impact on the quality of cotton and its products. For the treatment of cotton foreign fibers, two methods are adopted uniformly at home and abroad. Methods, visual detection method and microwave detection method. France, Germany and Switzerland are at the forefront in the removal of cotton foreign fibers, such as the SCFO foreign fiber detection and separation device of German Truetzschler company. A lot of research work has also been carried out in China, and a series of equipment for removing foreign fibers in cotton has been obtained. Such as the DG-200OA foreign fiber detection equipment ...

AI Technical Summary

Problems solved by technology

At the same time, the mutual information recognition method of cotton foreign fibers is applied to the detection and type identification of cotton foreign fibers, which can improve the technical level and production efficiency of foreign fiber detection, and can effectively overcome the traditional long detection period, poor timeliness and low efficiency of foreign fiber detection. , poor accuracy, and high labor intensity are of great significance to the realization of automation and intelligence of agricultural product testing, which is conducive to improving the quality of cotton and promoting the development of my country's cotton industry and cotton textile industry

Images