Method for extracting fractal general view and fractal detail mixed characteristic vector for representing fabric texture
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A technology of fabric texture and mixed features, which is applied in the direction of instruments, character and pattern recognition, computer parts, etc. Meticulously characterize the essential characteristics of fabric texture and other issues
Inactive Publication Date: 2012-09-19
DONGHUA UNIV
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[0010] The fabric texture characterization methods involved in the above-mentioned existing literature or patents are limited to the extraction of global features for the characterization of fabric texture information, and fail to take into account both the general appearance and detailed information of fabric texture, so they cannot comprehensively and meticulously characterize the essential characteristics of fabric texture
The above-mentioned documents or patents still have the following disadvantages in the fractal representation of fabric texture: 1. The fractal features are directly extracted on the basis of two-dimensional images, which requires a large amount of calculation; 2. The extracted fractal features can only describe the global information of the texture, and cannot Detailed and profound representation of the detailed information of fabric texture; 3. The inherent warp and weft orientation characteristics of fabric texture are not fully utilized in feature extraction to improve the stability of features; 4. The inherent warp and weft rules of fabric texture are not fully utilized in feature extraction Cycling features to improve feature-to-texture representation accuracy
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the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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Embodiment 1
[0068] (1) Obtain the fabric image W, the size of which is 64×64 pixels, such as figure 2 shown.
[0069] (2) Calculate the mean value of each column and the mean value of each row of the image respectively to obtain two one-dimensional time series, connect the two sequences end to end to form a new time series, and use 2 to 6 pixels in the box size sequence δ In the case of , the box dimension of the time series is estimated by the box counting method, and the result is 1.32.
[0070] (3) Use one-dimensional FFT to calculate the period of any row of grayscale data in the original image, and obtain the column basic period P 1 = 20 pixels.
[0071] (4) Use one-dimensional FFT to calculate the period of any column of grayscale data in the original image, and obtain the basic period P of the row 2 = 11 pixels.
[0072] (5) Take as in W figure 1 middle rectangle A 1 B 1 C 1 D. 1 The subwindow shown in W 1 , the horizontal length of the sub-window is 20 pixels and the ve...
Embodiment 2
[0076] (1) Obtain the fabric image W, the size of which is 64×64 pixels, such as image 3 shown.
[0077] (2) Calculate the mean value of each column and the mean value of each row of the image respectively to obtain two one-dimensional time series, connect the two sequences end to end to form a new time series, and use 2 to 6 pixels in the box size sequence δ In the case of , the box dimension of the time series is estimated by the box counting method, and the result is 1.26.
[0078] (3) Use one-dimensional FFT to calculate the period of any row of grayscale data in the original image, and obtain the column basic period P 1 = 8 pixels.
[0079] (4) Use one-dimensional FFT to calculate the period of any column of grayscale data in the original image, and obtain the basic period P of the row 2 = 15 pixels.
[0080] (5) Take as in W figure 1 middle rectangle A 1 B 1 C 1 D. 1 The subwindow shown in W 1 , the horizontal length of the sub-window is 8 pixels and the verti...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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Abstract
The invention belongs to the field of digital image processing and pattern recognition, particularly relates to a fractal general picture for representing a fabric texture and a method for extracting a fractal detail mixed characteristic vector. The method comprises the following steps of: longitudinally and transversely projecting an original fabric image firstly, and then calculating a fractal dimenstion of a projection combined sequence as a general picture characteristic; calculating a fractal dimenstion of each sub-window containing a transverse basic cycle period or a longitudinal basiccycle period in the original image according to a traversing method, and finally, selecting two fractal dimenstion extreme values of reflecting transverse detail information and two fractal dimenstion extreme values of reflecting longitudinal detail information as detail information used for representing the fabric texture; combining the fractal general picture characteristic and the four fractaldetail characteristics to form the mixed characteristic vector. All the characteristics of the mixed characteristic vector have high complementarity; and the mixed characteristic vector has both the general picture information and the detail information of the texture, also has both the transverse information and the longitudinal information of the texture and can comprehensively and meticulouslydescribing the characteristics of the fabric texture.
Description
technical field [0001] The invention belongs to the field of digital image processing and pattern recognition, in particular to a method for extracting a mixed feature vector of fractal general appearance and fractal detail for characterizing fabric texture. Background technique [0002] With the help of fabric texture characterization technology, the purposes of fabric texture parameter estimation, texture classification, fabric appearance evaluation, and defect detection can be realized. Any fabric texture contains two important information, namely general information and detail information. The overview information provides the overall rough structure and grayscale impression for human eyes or machine vision, while the detail information provides the local fine structure and grayscale impression. Therefore, in order to fully and meticulously characterize the texture structure and reflect the texture characteristics to the maximum extent, both the general appearance and t...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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