Method and system for detecting road area

Abstract

The invention relates to the technical field of image mode recognition, and provides a road region detection method and a system, wherein, the method comprises the following steps: S1: an image of a detected road is obtained; S2: the obtained image data is processed for determining the smooth region; S3: the smooth region with the biggest pixel area in the smooth region is determined; S4: the road candidate region is determined according to the position relationship between other smooth regions and the smooth region with the biggest pixel area; and S5: the road candidate region is modified for obtaining the final road region. The road region detection method and the system solve the problems that the prior road region method which is based on color segmentation has the problems on the treatment of shadow, water trace and uneven road color, the road region detection method and the system can not only be applied to the structural road for solving the problem of difficult boundary extraction, but can also be applied to the non-structural road. The real-time property and the robustness of the detection are enhanced on the basis of ensuring the recognition rate, and the method is simple, rapid and effective.

Description

technical field [0001] The invention relates to the technical field of image pattern recognition, in particular to a texture-based road area detection method and system thereof. Background technique [0002] The actual roads can often be divided into structured roads and unstructured roads. Structured roads generally refer to expressways and some well-structured roads. This type of road has clear lane lines and road boundaries. Therefore, for Its road detection problem can be simplified to the detection problem of lane lines or road boundaries. Unstructured roads generally refer to roads with a low degree of structure. This type of road has no clear lane lines and road boundaries, and shadows, water traces, sediment, etc. have changed the surface characteristics of the road, road areas and non-road areas. Areas are more difficult to distinguish, so detection techniques for such roads are still in the research stage. [0003] Currently, detection methods for road regions ca...

AI Technical Summary

Problems solved by technology

[0007] 1) When the road has cast shadows, the color information covered by the trapezoidal area under the selected image is incomplete, resulting in incomplete extracted road area;

[0008] 2) When the color of the non-road wall or car body is similar to that of the road, and also meets a certain width requirement, the extracted road area will be inaccurate;

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