Image processing and characteristic extraction method of evaluating clothes wearing wrinkling degree
An image processing and feature extraction technology, applied in image data processing, image enhancement, image analysis, etc., to solve problems affecting the accuracy of wrinkle feature values
Inactive Publication Date: 2016-08-10
ZHEJIANG SCI-TECH UNIV
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However, currently commonly used image filtering methods, such as median filtering, linear filtering, adaptive filtering, etc., not only highlight the fabric wrinkle features, but also greatly improve the edges in the image, and also remove some wrinkle details as noise. This seriously affects the accuracy of wrinkle eigenvalue extraction
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[0036] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0037] figure 1 is the technical roadmap of the present invention, combined with figure 1 Implementation steps of the present invention are:
[0038] Step 1. Image acquisition of the wrinkled part of the garment. After the clothing is wrinkled, the 1 / 2.3-inch, 20.1 million-pixel CCD sensor is used to obtain wrinkled images of the knees, elbows and thighs on the human body, which are three severely wrinkled parts. After repeated experiments, it was found that when the clothing is worn on the human body, the wrinkle image acquired at a distance of 28cm from the sensor to the wrinkled part is the most complete, which is more conducive to post-processing. In order to reduce the influence of background light, a black curtain was selected to reduce reflection; the three collected wrinkle images were input into the computer and cut into ...
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The invention discloses an image processing and characteristic extraction method of evaluating a clothes wearing wrinkling degree. By using common image filtering, a fabric wrinkle characteristic is protruded and simultaneously an edge in an image is greatly increased; and several wrinkle details are taken as noises and are removed, which severely influences accuracy of wrinkle characteristic value extraction. The method comprises the following steps of carrying out image acquisition of a clothes wrinkling portion; using a fractional differential algorithm to carry out convolution filtering on a wrinkled image; extracting a wrinkling characteristic parameter; calculating wrinkling degrees of three acquired wrinkling portion images of knees, elbows and leg ends and calculating a total wrinkling degree . In the invention, the fractional differential algorithm is used to preprocess the wrinkled image and then the wrinkling degree is extracted and is taken as an index of evaluating the clothes wearing wrinkling degree; a wrinkle detail extraction effect is improved, and anastomosis and consistency of an evaluation result and naked eye observation are increased so that detection precision is greatly increased.
Description
technical field [0001] The invention belongs to the field of textile and garment performance testing, and in particular relates to an image processing and feature extraction method for evaluating the wrinkle degree of garment wearing. Background technique [0002] Wrinkle refers to the deformation of clothing that is difficult to restore to its original flat state due to the influence of factors such as bending, washing, and human movement during wearing and storage. This kind of wrinkle not only affects the aesthetics of wearing, but also the wrinkled area is prone to severe wear and tear, which accelerates the damage of clothing. Therefore, it is very important to evaluate it objectively and accurately. At present, the evaluation of clothing wrinkles is mainly through the DP grade, which is a simple and direct subjective evaluation method, but the results are easily affected by factors such as the environment and the psychology of the evaluators. At the same time, the gr...
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IPC IPC(8): G06T7/00G06T7/40
CPCG06T7/0004G06T2207/30124
Inventor 刘成霞刘婷
Owner ZHEJIANG SCI-TECH UNIV