Method and system for enhancing color images of cotton pseudo foreign fibers under non-uniform illumination

Abstract

The invention discloses a method for enhancing color images of cotton pseudo foreign fibers under non-uniform illumination. The method comprises the following steps of: 1, reading original color images of the cotton pseudo foreign fibers in; 2, converting the original color images of the cotton pseudo foreign fibers from an RGB (red, green and blue) space to an HSI (hue, saturation and intensity) space; 3, enhancing components I of the converted HSI color images; 4, performing enhancement post-processing on the images enhanced by the step 3; and 5, converting the HSI images processed by the step 4 back to the RGB space. In addition, the invention also discloses a system for implementing the method. The system comprises an image reading module, a first image conversion module, an image enhancement module, an image enhancement post-processing module and a second image conversion module which are used for realizing the five steps respectively. By utilizing the method and system disclosed by the invention, the color images of the cotton pseudo foreign fibers can be effectively enhanced, so that the subsequent segmentation and identification of foreign fibers and the pseudo foreign fibers can be conveniently realized.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and system for enhancing color images of cotton pseudo-heterosexual fibers under uneven illumination. Background technique [0002] Pseudo-foreign fibers in cotton refer to some non-fibrous soft and hard impurities that are mixed into cotton during the process of planting, picking, and tanning, and are difficult to distinguish from foreign fibers in size, color, and shape, mainly including: cotton leaves , cottonseed shavings, cotton stalks, grass leaves, etc. The content of pseudo-foreign fibers in lint is more than that of foreign fibers, and its imaging is difficult to distinguish from foreign fibers in terms of color, shape, etc., which has a great impact on the detection and accurate measurement of cotton foreign fibers based on machine vision, so some images need to be passed Processing and machine vision techniques to distinguish pseudo-foreign fibers fr...

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is to provide a method and system for enhancing the color image of cotton pseudo-heterosexual fiber under uneven illumination, and to enhance the color image of cotton pseudo-heterosexual fiber collected by the machine vision platform, so as to solve the problem based on machine vision. The problem of false foreign fiber identification in cotton foreign fiber detection is convenient for subsequent segmentation and identification

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