Image segmentation based car window extraction method and system

An extraction method and graph segmentation technology, which are applied in the field of vehicle window extraction methods and systems based on graph segmentation, can solve the problems of insufficient extraction effect, failure, and large difference in vehicle body color and chromaticity.

Active Publication Date: 2016-07-27
SUN YAT SEN UNIV +1
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Problems solved by technology

[0004] However, the edge-based window extraction method has poor anti-interference ability. When the light is poor or the color of the car is dark, the method will fail because the detected edges are often less; in addition, when the vehicle in the image deviates from Larger angles or different window shapes for different car models can also defeat the effect of this method du

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  • Image segmentation based car window extraction method and system
  • Image segmentation based car window extraction method and system
  • Image segmentation based car window extraction method and system

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Embodiment 1

[0139]Aiming at the problem that the existing car window advance method is easily affected by factors such as the intensity of light, the variety of vehicle body colors, the depth of vehicle body color, and the variety of vehicle window shapes, the present invention provides a brand-new, image segmentation-based color matching method. A method for extracting vehicle windows from a vehicle image can extract precise window areas. like Figure 4 Shown, the main process of the vehicle window extraction method of the present invention comprises:

[0140] (1) Image size normalization.

[0141] The acquired color vehicle image is normalized to a normalized image of size 220×200.

[0142] (2) Image segmentation.

[0143] The image segmentation method based on the undirected graph in this embodiment includes three steps of Gaussian filtering, pre-segmentation, and small region merging, respectively corresponding to the three parameters of sigma, K, and minRegion. Among them, sigma ...

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Abstract

The invention discloses an image segmentation based car window extraction method and system. The method comprises the steps of normalizing an obtained vehicle image to obtain a normalized image; performing undirected graph based image segmentation processing on the normalized image; according to a distance between a mass center of each region and a mass center reference point, sorting regions in the upper half parts of the segmented images, then adding the regions into a cache image in sequence according to a sorting result, calculating the regional boundary fluency of the cache image in real time by adopting a first-order difference of a Freeman chain code, and extracting candidate car window regions according to the regional boundary fluency of the cache image; and according to a set car window region judgment basis, screening out a final car window region from the candidate car window regions. According to the method and system, the undirected graph based image segmentation method is adopted, so that the anti-jamming capability is good and the robustness is high; and meanwhile, the extraction effect and accuracy of the car window region are ensured. The method and system can be widely applied to the field of image processing.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and system for extracting car windows based on graph segmentation. Background technique [0002] In recent years, intelligent transportation system has achieved rapid development and wide application, and traffic safety is an important part of it. Safe driving is a key part of traffic safety, so the safety monitoring of drivers is particularly important. Driver safety monitoring includes monitoring whether the driver is wearing a seat belt, making phone calls while driving, and fatigue driving. In addition, the detection of annual inspection marks and environmental protection marks is also an important part of traffic vehicle management. The accurate extraction of the window area is the premise to solve the above problems, and it is also an important content in the field of traffic image processing and pattern recognition. [0003] Existing vehicle window extraction me...

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Application Information

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IPC IPC(8): G06T7/00G06T5/10
CPCG06T5/10
Inventor 李熙莹李发文江倩殷罗东华袁敏贤
Owner SUN YAT SEN UNIV
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