An objective evaluation method for fabric flatness based on images of four-side light sources
A flatness and fabric technology, applied in the direction of optical devices, instruments, measuring devices, etc., can solve the problems of uncontrollable precision and difficulty in satisfying the stability, reproducibility, automation, and non-reproducibility of fabric flatness evaluation methods, so as to achieve authenticity and reliability Evaluation and evaluation results are objective and stable
Active Publication Date: 2020-04-28
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] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings:
[0033] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to specific embodiments and drawings.
[0034] The present invention provides an objective method for evaluating fabric flatness based on four-side light source images, which is 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 levels and fabric samples to be evaluated, and obtain data sets for each collection object respectively;
[0036] Step 2, preprocessing each data group collected in step 1;
[0037] Step 3: Perform feature extraction on each data group after preprocessing to obtain the feat...
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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 textile flatness evaluation method based on image processing. Background technique [0002] The process of daily household washing and industrial washing has various effects on fabrics, leading to changes in their appearance characteristics, reducing their beauty and use value. Therefore, the evaluation of the performance of fabrics to maintain the original appearance characteristics after washing has an important position in textile trade and quality monitoring. The evaluation of fabric flatness refers to the evaluation of the performance of the fabric to maintain its original flat appearance after washing and drying. This performance has an important impact on the appearance of the fabric after washing and is important for the appearance and performance of the fabric. Evaluation index. Therefore, the American Association of Textile Chemists and Dyers has formulated relevan...
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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