Blind detection method based on color mode analysis and semantic segmentation

Abstract

The present invention relates to the field of visual recognition, and proposes a blind road detection method based on color pattern analysis and semantic segmentation, aiming to solve the problem that blind road detection is sensitive to changes in illumination, color and texture, and is not suitable for blind road areas in complex environments Accurate extraction of technical issues. The method includes: obtaining the color probability feature map of the blind road corresponding to the image to be detected; obtaining the probability feature map of the position of the blind road corresponding to the image to be detected by using a pre-built Gaussian diffusion model; The local texture feature map of the blind road, and obtain the feature fusion image according to the above blind road color probability feature map, the blind road position probability feature map and the above blind road local texture feature map, and perform semantic segmentation on the above feature fusion image to obtain the above blind road area in the image to be detected . The invention can quickly and accurately detect blind road areas.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a blind road detection method for color pattern analysis and semantic segmentation. Background technique [0002] Due to the lack of means to perceive the outside world, blind people have great obstacles to travel, and often fall and get injured. At present, most cities have paved blind roads to facilitate the travel of the blind, but in real life, blind people may deviate from the blind road at the beginning, or the blind road is occupied or damaged. Real-time detection of passable blind road areas and possible damage on the road to improve the safety of blind people when they go out. [0003] At present, the detection of blind roads is mostly based on color or texture features, and unsupervised algorithms such as clustering are used to achieve image segmentation, and on this basis, the boundary of blind roads is obtained by combining line detection algorithms. For exa...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the technical problem that in blind road detection, it is sensitive to changes in illumination, color and texture, and is not suitable for accurate extraction of blind road areas in complex environments, for this purpose, the present invention A blind road detection method based on color pattern analysis and semantic segmentation is provided to solve the above problems

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