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Image edge detection method based on multiple stochastic resonance mechanisms

A stochastic resonance and image edge technology, which is applied in image enhancement, image analysis, image data processing, etc., to achieve good stability and processing effect, and avoid the effect of incomplete edge information

Active Publication Date: 2014-04-16
江苏盐综产业投资发展有限公司
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Problems solved by technology

Therefore, if the same stochastic resonance modulation is used for the edges of different contrasts, the obtained result can only be an optimal value in a global sense.

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  • Image edge detection method based on multiple stochastic resonance mechanisms
  • Image edge detection method based on multiple stochastic resonance mechanisms
  • Image edge detection method based on multiple stochastic resonance mechanisms

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[0021] The present invention will be further described below in conjunction with accompanying drawing.

[0022] Such as figure 1 As shown, P(i,j) is the grayscale input signal, H ω (i, j) is the sub-graph obtained by P(i, j) after Log-Gabor filter preprocessing, where ω represents the direction, ω=0°, 45°, 90°, 135°, ω is the same below; G ω (n) is H ω (i, j) One-dimensional signal after dimensionality reduction by specific scanning method; A ω (n) is a bistable series-parallel network model, B ω (n) is I ω (n) The result after grayscale mapping; E ω (i,j) is B ω (n) After being reconstructed by the corresponding inverse scanning method, the two-dimensional signal after threshold processing, for the kth 3 The output signal after sub-stochastic resonance modulation.

[0023] The inventive method specifically comprises the following steps:

[0024] Step (1) For the grayscale image P(i,j)(i=1,2,...M; j=1,2,...N, the variables i and j are the same below, and M and N rep...

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Abstract

The invention relates to an image edge detection method based on multiple stochastic resonance mechanisms. A bistable serial-parallel network model with a stochastic resonance character is built, and edge detection based on the multiple stochastic resonance mechanisms is carried out on multi-contrast-ratio edges in an image in sequence from strong to weak. Independent stochastic resonance modulation is carried out on the edges with different contrast ratios by different levels, and finally locally optimum detection results are integrated into complete edge information. The function of noise in image edge enhancement and detection is fully utilized, and the detection thought on multilevel edge details under a single scale in a traditional method is changed.

Description

technical field [0001] The invention belongs to the field of digital image processing, and relates to an image edge detection method based on a multiple stochastic resonance mechanism. Background technique [0002] Image edges contain rich information, so edge detection is an important link in image processing or analysis. Although stochastic resonance can realize image edge enhancement and detection with the help of noise energy. However, in the process of image acquisition, due to the influence of lighting conditions and the characteristics of the imaging object, the edges in the image are usually characterized by the coexistence of different contrasts. Therefore, if the same stochastic resonance modulation is used for edges with different contrasts, the obtained result can only be an optimal in a global sense. The invention constructs a bistable series-parallel network model with stochastic resonance characteristics, and performs edge detection based on multiple stochas...

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Application Information

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IPC IPC(8): G06T7/00G06T5/00
Inventor 范影乐李丹菁张梦楠王迪武薇
Owner 江苏盐综产业投资发展有限公司
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