Objective evaluation method for flatness of fabric based on four-side light source images
A flatness and fabric technology, applied in the direction of optical devices, measuring devices, instruments, etc., can solve the problems that are difficult to meet the stability, reproducibility, automation, uncontrollable precision, and unreproducible evaluation methods of fabric flatness, and achieve the evaluation results Objective, stable, true and reliable evaluation of the effect
Active Publication Date: 2018-09-11
JIANGNAN UNIV
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Problems solved by technology
Such subjective methods rely on the influence of the assessor's physiological, psychological and environmental factors, and the accuracy is uncontrollable and cannot be reproduced
Although it is still widely used in the field of textile testing, it is difficult to meet the needs of stability, reproducibility, and automation for fabric flatness evaluation methods in practical applications.
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[0032] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:
[0033] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.
[0034] The invention provides a method for objectively evaluating the flatness of fabrics based on images of four-side light sources, characterized in that the specific steps of the method are as follows:
[0035] Step 1. Use the same four-side light source image acquisition device to collect three-dimensional plastic standard samples of various grades and fabric samples to be evaluated, and obtain data groups for each collection object;
[0036] Step 2, preprocessing each data group collected in step 1;
[0037] Step 3, performing feature extraction on each preprocessed data group to obtain ...
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The invention discloses an objective evaluation method for the flatness of a fabric based on four-side light source images. The objective evaluation method comprises the following steps: collecting each grade of stereoscopic plastic standard samples and a to-be-evaluated fabric sample by virtue of same four-side light source images so as to respectively obtain a data set of each sampled object; preprocessing the each collected data set; carrying out feature extraction on each preprocessed data set, so as to obtain features of the plastic standard samples or fabric samples; and calculating thesimilarity between the features of the fabric samples and features of each grade of standard samples by virtue of the features extracted in each data set and a designed similarity evaluation model, and carrying out objective evaluation on the flatness grade of the fabric samples by taking the similarity as the basis. The objective evaluation method has extremely high detection precision and has the characteristics of objectiveness, stability, reproducibility and automation.
Description
technical field [0001] The invention relates to a textile performance testing method, in particular to a fabric flatness evaluation method based on image processing. Background technique [0002] The process of household daily cleaning and industrial washing has various effects on fabrics, resulting in changes in their appearance characteristics and reducing their aesthetics and use value. Therefore, the evaluation of the performance of maintaining the original appearance characteristics of fabrics after washing and care plays an important role in textile trade and quality control. The evaluation of the flatness of the fabric refers to the evaluation of the performance of the fabric to maintain its original flat appearance after washing and drying. evaluation index. Therefore, the American Association of Textile Chemists and Printing and Dyeing Engineers has formulated relevant standards (such as AATCC 124) to standardize the flatness of fabrics; GB / T 13769 has also formul...
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IPC IPC(8): G01B11/30
CPCG01B11/303
Inventor 高卫东王静安潘如如王蕾孙丰鑫周建
Owner JIANGNAN UNIV