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A Saliency Detection Method for Infrared Images Based on Global and Local Interaction

A technology of infrared image and detection method, applied in computer parts, character and pattern recognition, calculation, etc., can solve problems such as wrong estimation results, achieve the effect of improving accuracy, improving operating efficiency, and reducing noise interference

Active Publication Date: 2022-06-17
SUZHOU CHANGFENG AVIATION ELECTRONICS
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Problems solved by technology

However, this method may lead to wrong estimation results, making salient regions contain background noise

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  • A Saliency Detection Method for Infrared Images Based on Global and Local Interaction
  • A Saliency Detection Method for Infrared Images Based on Global and Local Interaction
  • A Saliency Detection Method for Infrared Images Based on Global and Local Interaction

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Embodiment Construction

[0053] The invention provides an infrared image saliency detection method based on global and local interaction. The technical solutions of the present invention will be described in detail below with reference to the accompanying drawings to make it easier to understand and grasp.

[0054] A method for saliency detection in infrared images based on global and local interactions, such as figure 1 shown, including the following steps:

[0055] Step 1: Calculate the structural local adaptive recursive kernel,

[0056] Let F denote the feature image extracted from the input image I, formula (1) is:

[0057] F(x, y) = Γ(I, x, y) (1)

[0058] Among them, Γ() represents a multi-dimensional function for extracting image features,

[0059] The position, gradient, brightness, LBP and HOG information of the infrared image are used as the features of the image. In the feature image F, each pixel can be described as a 7-dimensional vector, and the formula (2) is:

[0060]

[0061]...

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Abstract

The invention discloses a saliency detection method for infrared images based on global and local interactions, including calculating structural local adaptive recursive kernels, constructing affine matrices to improve saliency map performance, establishing global constraints based on Gaussian mixture models, and using structural filtering The method filters out noise interference and integrates local and global models to calculate the final saliency map. The present invention can effectively estimate the visually significant target information, improve the effective follow-up area for the later target tracking and target recognition, reduce the search consumption of the machine vision algorithm, improve the operating efficiency of the algorithm, and can also reduce the computing power consumption of the hardware, improve The resource utilization of image signals provides effective image preprocessing support for later visual tasks.

Description

technical field [0001] The invention relates to an infrared image saliency detection method, in particular to an infrared image saliency detection method based on global and local interaction, and belongs to the technical field of image understanding processing. Background technique [0002] Saliency detection plays an important role in the understanding and analysis methods of night vision images (including low-light and infrared images), and it also plays an important role in machine vision applications. [0003] Document 1 (X. Hou, L. Zhang, Dynamic visual attention: searching for codinglength increments, in: D. Koller, D. Schuurmans, Y. Bengio, L. Bottou (Eds.), Advances in Neural Information Processing Systems 21, 2009 .) propose a dynamic vision model based on the rarity of features and apply (ICL) to estimate the gain of entropy for each feature. Document 2 (T.Liu,Z.Yuan,J.Sun,J.Wang,N.Zheng,X.Tang,H.-Y.Shum,Learning to detect a salient object,IEEETPAMI 33(2),2011.) ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/25G06V10/50
CPCG06V10/507G06V10/25
Inventor 徐晓川祁伟曹峰杨粤涛刘光胜
Owner SUZHOU CHANGFENG AVIATION ELECTRONICS
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