Blind sidewalk direction detection method based on video

Abstract

The invention provides a blind sidewalk direction detection method based on a video. The blind sidewalk direction detection method comprises the steps that blind sideway video images are collected; the current frame of color image is transformed into a gray image; fuzzy processing in the horizontal direction is conducted on the gray image through a mean filter; image enhancement is conducted on the gray image obtained after the fuzzy processing is conducted; a binary value perpendicular edge feature map of the gray image obtained after the image enhancement is conducted is obtained; a perpendicular edge connected region of a blind sideway is obtained; the inclined angle of the blind sideway is obtained; the angle amount needing to be corrected in the marching direction is obtained through calculation; the angle in the marching direction of the current frame is updated; a user is prompted through voice with the direction of the blind sideway when marching continually. According to the blind sidewalk direction detection method, the video image processing technology is adopted, the direction of the blind sideway is judged based on the optimal edge angle on the traditional significance, and the method has the advantages of being high in detection accuracy, high in robustness, small in influence of the environment, high in speed, low in cost and the like.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a video-based blind road direction detection method. Background technique [0002] The blind road is a kind of barrier-free infrastructure in the city, which aims to provide convenience and safety for the visually impaired. With the development and progress of society, almost all roads are equipped with blind roads. However, the blind road has not played its due role. The reason is that the existing blind-guiding methods, such as guide sticks and guide dogs, have relatively large deficiencies, or cannot provide accurate blind road direction information, or guide the blind. The cost is too high, or the operation is inconvenient, etc., and it is impossible to provide real travel convenience for the majority of visually impaired people. [0003] At present, for the detection of blind road direction information, the commonly used technical methods are as follows: [0004]...

AI Technical Summary

Problems solved by technology

This type of method obtains the angle information of the two boundaries of the blind road through the canny edge operator and the hough straight line detection algorithm. This type of method has a better effect on the standard blind road, but in the actual environment, there are many factors that interfere with the blind road, such as the surrounding background There are strong edge interference, missing edges of blind roads, etc., and this type of method often fails

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