Fabric fuzzing and pilling image segmentation method based on wavelet transformation and morphological algorithm

Abstract

The invention discloses a fabric fuzzing and pilling image segmentation method based on wavelet transformation and the morphological algorithm. The method comprises the steps that firstly, histogram equalization is carried out on an acquired fabric fuzzing and pilling image, and eight-stage multi-resolution wavelet decomposition is carried out; secondly, after the coefficient of a first-stage wavelet decomposition layer, the coefficient of a second-stage wavelet decomposition layer and the coefficient of an approximate wavelet decomposition layer are set to be zero, the image is reconstructed, wherein the first-stage wavelet decomposition layer and the second-stage wavelet decomposition layer express the highest-frequency information, and the approximate wavelet decomposition layer expresses low-frequency information; thirdly, binaryzation is carried out on the constructed image according to the maximum between-cluster variance method, and erosion is carried out on the image through a horizontal linear structure element, a 45-degree linear structure element, a vertical linear structure element and a 135-degree linear structure element in sequence; fourthly, dilation is carried out on the eroded image through structure elements with the sequence opposite to that of the structure elements applied to erosion, namely, the 135-degree linear structure element, the vertical linear structure element, the 45-degree linear structure element and the horizontal linear structure element in sequence. By means of the method, the influence of the texture of fabric, illumination unevenness, the surface roughness of the fabric and the size difference and shape difference of fuzzy balls on fuzzing and pilling grade assessment on the fabric can be effectively avoided.

Description

technical field [0001] The invention belongs to the fields of image processing and textiles, and in particular relates to a fabric pilling image segmentation method based on wavelet transform and morphological operation. Background technique [0002] The degree of pilling caused by wearing or washing is an important indicator to describe the performance of fabrics. The traditional pilling grade evaluation method is highly subjective by professional experimenters observing the pilling sample and comparing it with the standard sample, and judging the grade by the number and size of the pilling. In order to overcome the shortcomings of traditional evaluation methods, many methods based on image processing technology have appeared, which have good consistency and repeatability, and at the same time improve the correctness and reliability of evaluation. It is mainly divided into three categories. One category only uses color information in the spatial domain to complete the eval...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the fact that the fabric pilling level detection process based on the image processing algorithm cannot effectively remove the influence of the fabric texture, and the accuracy of the level detection is affected when the hair balls are of different sizes and shapes, a method based on wavelet transform and morphology is proposed. The image segmentation method of fabric fluffing and pilling based on mathematical calculation can effectively overcome the influence of uneven illumination and uneven fabric surface on the accuracy of grade detection

Images