Application of X-ray detection in cotton impurity sorting

As an important textile raw material, the quality of cotton directly affects the quality and market competitiveness of textiles. However, in the process of picking, processing and transportation of cotton, it is inevitable to mix various impurities, such as seeds, leaves, sand and so on. These impurities not only affect the purity of cotton, but also may adversely affect the subsequent textile processing process. Therefore, it is particularly important to carry out effective sorting of impurities in cotton. In recent years, with the continuous development of image processing technology and X-ray detection technology, the method of sorting cotton impurities by X-ray detection combined with gray value analysis has gradually attracted attention.

The basic principle of X-ray detection technology is that after X-ray penetrates the object, different substances have different absorption and scattering characteristics of X-ray, so as to form different gray images on the detector. For the impurities in cotton, due to their composition, density and structure are different from the cotton itself, so they will show different gray values in the X-ray image.

In the process of sorting cotton impurities, it is first necessary to scan the cotton by X-ray detection equipment to obtain its gray image. Then, the image processing technology is used to analyze and process these images, and the gray difference features between cotton and impurities are extracted. Next, appropriate thresholds are set based on these features to segment the cotton and impurities in the image. Finally, the separated impurities are removed from the cotton by a mechanical device to achieve the sorting of impurities.

The method of using gray value to effectively screen cotton impurities has the following advantages: First, the method can realize fast and accurate impurity sorting, and improve the efficiency and quality of cotton treatment; Secondly, by setting different thresholds, it can adapt to different kinds and degrees of impurities, with strong flexibility and adaptability; Finally, the method can be combined with other image processing techniques to further improve the accuracy and reliability of impurity sorting.

Of course, X-ray detection technology also has some challenges and limitations in cotton impurity sorting. For example, for some impurities that are close to the gray value of cotton, it may be difficult to be accurately segmented by a single gray value feature. In addition, the cost of X-ray inspection equipment and maintenance costs are relatively high. Therefore, in practical application, it is necessary to consider various factors comprehensively and choose the appropriate technical scheme.

With the continuous progress of science and technology and the continuous development of image processing technology, it is believed that the application of X-ray detection in cotton impurity sorting will be more extensive and in-depth in the future. By continuously optimizing algorithms and equipment performance, we can expect to achieve more efficient and accurate cotton impurity sorting, contributing to the sustainable development of the textile industry.