Movement destination image partition method

An image segmentation and moving target technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as difficulty in detecting moving human images, chaotic background interference, etc., achieving significant technical effects, avoiding friction and contradiction, and adapting to the environment. strong effect

Active Publication Date: 2008-12-03
TIANJIN UNIV
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Problems solved by technology

However, due to dynamic changes in the background image, such as changes in weather, changes in lighting conditions, background chaos, shadows of moving objects, oc

Method used

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  • Movement destination image partition method
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Examples

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example 1

[0067] Example 1. Example of dilation operation

[0068] Such as Image 6 (a) is a binary image, the shaded part represents the area with high gray value (generally 1), the white part represents the area with low gray value (generally 0), and the space coordinate of its upper left corner is (0 ,0). (b) The picture shows structural element B, marked with "+" to represent the reference point of the structural element. The result of the expansion is shown in figure (c), where the black part is the expanded part. put result X Compared with X, B found that X has expanded to a certain extent according to the shape of B. Hence, the operation is called dilation.

[0069] ② Corrosion operation (Erosion)

[0070] The corrosion operation is also called the erosion operation, with the symbol Indicates that X is corroded by B and denoted as X B, defined as

[0071] The erosion process can be described as follows: the collection of structural element reference points that are ...

example 2

[0072] Example 2 Corrosion operation example

[0073] Such as Figure 7 (a) is a binary image, (b) is the structural element B, marked with "+" to represent the reference point. The result of corrosion is shown in Figure (c), where the black part is the part left after corrosion. put result X Compared with X, it is found that the area of ​​X has been reduced. It can be seen that the parts that cannot accommodate structural elements have been corroded.

[0074] In morphology, the opening operation AοB refers to the result of A being corroded by B and then expanded by B, namely:

[0075]

[0076] where □ represents corrosion operation, Indicates the dilation operation. The opening operation can completely delete objects that cannot contain structural elements, such as smoothing the convex contour of objects, breaking narrow connections, and removing small protrusions. The closing operation is just the opposite of the opening operation. Its definition refers to the res...

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Abstract

The invention provides a method for segmenting a moving target image, belonging to the technical field of a computer of image processing; the method comprises the following steps of: adopting a minimum median variance method to obtain a background image; adopting an indirect difference function to obtain a difference image; step 3, selecting a segmentation threshold T and carrying out binarization for the difference image so as to obtaining a binarization foreground image; updating the ground image dynamically according to the updated image, the current background image and the binarization foreground image; using a morphological filtering to eliminate the noise in the binary image and fill defects in the moving target image; the invention can provide help for effective use of a monitoring system and reliable evaluation of monitoring effect, and can be applied in various public places such as police, fire fighting, customs, ports and stations, etc. widely, thus obtaining considerable social effect and improving public safety service.

Description

technical field [0001] The invention belongs to the technical field of image processing computers, and relates to a moving target image segmentation method. Background technique [0002] Segmentation of moving human body image under complex background is the most basic part of video surveillance image processing, which aims to extract the moving human body area from the background image from the video sequence images obtained by monitoring. Effective segmentation of motion regions is very important for post-processing such as classification, tracking and identification of surveillance targets. However, due to dynamic changes in the background image, such as changes in weather, changes in lighting conditions, background chaos, shadows of moving objects, occlusion between objects and the environment or between objects, and even camera movement, etc. The detection of moving human images becomes a rather difficult task. Therefore, it has aroused the strong interest of many res...

Claims

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Application Information

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IPC IPC(8): G06T7/20
Inventor 明东刘双迟张希程龙龙万柏坤
Owner TIANJIN UNIV
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