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Infrared vessel object segmentation method based on salient region detection

A region detection and target segmentation technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as the inability to obtain good segmentation results, and achieve the effect of broad market prospects and application value

Active Publication Date: 2014-08-20
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

Add the improved threshold method of spatial information such as 2D Otsu threshold method (J Zhang, J Hu: Image segmentation based on 2D Otsu method with histogram analysis. Computer Science and Software Engineering, 2008International Conference on. IEEE, 2008, 6. (Zhang Jun et al.: 2D Otsu Thresholding Method Image Segmentation Based on Histogram Analysis. 2008 IEEE International Conference on Computer Science and Software Engineering Volume VI.)), 2D Entropy Thresholding Method (F Du, W Shi, L Chen, Y Deng, Z Zhu: Infrared image segmentation with 2-D maximum entropy method based on particle swarm optimization (PSO). Pattern Recognition Letters, 2005, 26(5). 2005,26(5).)) can suppress noise to a certain extent, but the threshold method is affected by the pixel ratio between the target and the background, if the target pixel is too much less than the background, the target cannot be segmented
In addition, these methods cannot achieve good segmentation results for images with low foreground and background contrast.

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  • Infrared vessel object segmentation method based on salient region detection
  • Infrared vessel object segmentation method based on salient region detection
  • Infrared vessel object segmentation method based on salient region detection

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Embodiment Construction

[0025] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings.

[0026] An infrared ship target segmentation method based on salient region detection in the present invention, its working process is as follows figure 1 As shown, the specific implementation details of each part are as follows:

[0027] Step 1: Local line contrast detection

[0028] The result of bilateral filtering of the original image is taken as the input image I f . Divide the entire image into M×N disjoint sub-blocks {P 11 ,...,P 1N ;...,P iN ;P M1 ,...,P MN}, where P ij (1≤i≤M, 1≤j≤N) is a square with a fixed width of w, and the average block matrix of the i-th row is the mean matrix of all block matrices in the row, which is recorded as meanRow i , define the local line contrast in block as: I lrc (P ij )=sign(P ij -meanRow i )·||P ij -me...

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Abstract

The invention provides an infrared vessel object segmentation method based on salient region detection. The method includes the first step of conducting contrast detection on local rows, the second step of detecting the edge strength, the third step of detecting a salient linear structure, the fourth step of detecting a bright foreground region, the fifth step of detecting salient regions, the sixth step of segmenting the salient regions locally and processing salient images in a regional mode on the basis of a self-adaption threshold value constructed by a mean value, a standard difference and an estimated background to obtain a preliminary vessel segmentation result, and the seventh step of screening the salient regions, and conducting screening and judging on the preliminary result according to salient features and shape features to obtain a vessel object segmentation result finally. Through the infrared vessel object segmentation method based on salient region detection, an infrared vessel image can be effectively segmented, and influences caused by a complicated background and uneven illumination can be effectively suppressed.

Description

technical field [0001] The invention relates to an infrared ship target segmentation method based on salient region detection, which belongs to the technical fields of digital image processing, pattern recognition and sensors. It mainly involves infrared ship target segmentation, local adaptive threshold, salient area detection and target screening technology, and can be widely used in infrared ship target segmentation, positioning, identification and tracking. Background technique [0002] An infrared imaging system based on the infrared radiation characteristics of objects in the field of view, its output image reflects the difference in temperature and infrared emissivity between the target and the background. In recent years, the application of infrared images in maritime surveillance and maritime search has attracted widespread attention. Automatic infrared ship target segmentation is usually the first key step in the research of interested target analysis such as auto...

Claims

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Application Information

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IPC IPC(8): G06T7/20
Inventor 白相志王鹏刘兆英
Owner BEIHANG UNIV
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