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Method for detecting moving target of ink-jet printing fabric based on mixed-state Gauss MRF (Markov Random Field) model

A moving target, inkjet printing technology, applied in image data processing, instrumentation, computing, etc., can solve the problems of unable to perform background reconstruction synchronously, affecting the accuracy of moving target detection, and high update calculation overhead.

Inactive Publication Date: 2015-05-13
ZHEJIANG COLLEGE OF ZHEJIANG UNIV OF TECHOLOGY
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0014] However, when using the background elimination method based on the MRF background model directly to detect the moving target of the inkjet printed fabric, there are major deficiencies: 1) The texture background of the inkjet printed fabric is complex and varied, and the existing MRF background model cannot detect the complex texture The ability to characterize the motion characteristics is weak, and the anti-disturbance ability is poor
2) When the existing MRF background model performs moving target detection, it needs to keep the background model constant, and cannot perform background reconstruction synchronously, and lacks dynamic update of the background model, thus affecting the accuracy of subsequent moving target detection
Due to the high computational cost of updating the background model during reconstruction, it cannot meet the needs of real-time detection, so it is limited in the application of moving object detection on inkjet printed fabrics

Method used

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  • Method for detecting moving target of ink-jet printing fabric based on mixed-state Gauss MRF (Markov Random Field) model
  • Method for detecting moving target of ink-jet printing fabric based on mixed-state Gauss MRF (Markov Random Field) model
  • Method for detecting moving target of ink-jet printing fabric based on mixed-state Gauss MRF (Markov Random Field) model

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Embodiment Construction

[0082] The present invention will be further described below in conjunction with the accompanying drawings.

[0083] refer to Figure 1 to Figure 8 , a kind of ink-jet printing fabric moving target detection method based on mixed-state Gaussian MRF model, described detection method comprises the following steps:

[0084] Step ①: Input the observation video I, set the time series mark t=1, and reconstruct the background image u 0 =I 1 , grid point index i=0, video frame total length M=100, total number of grid points in a single frame N=80×80=6400, iteration error threshold η=0.01, iteration sequence index k=1, global energy value E 0 =0, noise threshold ω=0.1, weight parameter α=1, β=8, γ=4, variance λ=1.5, smoothing ratio parameter a=0.7;

[0085] Step ②: set i=i+1, calculate E(x t |I, u t-1 ) energy value at grid point i Iterative optimization solution of And according to the "grid point state judgment" strategy, the mixed state Gaussian MRF state value of the grid ...

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Abstract

A method for detecting a moving target of an ink-jet printing fabric based on a mixed-state Gauss MRF model comprises the steps: (1) inputting an observation video and setting iteration implementation parameters; (2) calculating an iterative optimization solution of a grid point and generating the mixed-state Gauss MRF state value of the grid point according to grid point state judging policy; (3) if the grid point is a moving target point, marking the value of a moving target detection diagram at the grid point and keeping the background reconstruction value of the grid point constant; or else, updating the background and setting the new background reconstruction value of the grid point; (4) generating the state points of all grid points by iteration and generating a mixed-state Gauss MRF state set by utilizing the state points; (5) calculating an overall energy value by utilizing the mixed-state Gauss MRF state set; (6) calculating overall energy change value; if the change value is greater than an iterative error threshold value, continuously performing ICM (Iterated Conditional Modes) iterative optimization; or else, finishing the convergence process of the iterative optimization; and (7) outputting the moving target detection diagram and a background reconstruction diagram. The dynamic updating of the background in the moving target detection process can be realized, the representational capacity of the complex texture background can be improved effectively, the detection precision under the noise environment is improved and the method is applicable to the detection treatment for the moving target of the ink-jet printing fabric.

Description

technical field [0001] The invention relates to the field of defect detection of inkjet printed fabrics, in particular to a method for detecting moving objects of inkjet printed fabrics. Background technique [0002] Inkjet printed fabric is a type of fabric formed by high-density digital inkjet printing. It abandons the complicated links of traditional printing plate making. It is formed by controlling the switch of the dye nozzle and spraying the dye on the fabric by the nozzle. Improve the fineness and color richness of the fabric picture. Inkjet printed fabrics have rich texture layers and fine and lifelike textures, which can express realistic pictures and texture effects such as oil paintings and landscape paintings. They have been widely used in high-end textile products such as brocade and silk. Since the inkjet printing texture is formed by spraying the dye on the fabric by the nozzle, it usually has a complex fine ink structure. The quality of the structure is a p...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/20
Inventor 冯志林周佳男陈伟杰朱向军陈晋音
Owner ZHEJIANG COLLEGE OF ZHEJIANG UNIV OF TECHOLOGY
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