With the development of information technology, the computing power of mobile devices continues to increase, and users can use some computationally complex programs on mobile devices. At present, research related to pavement recognition is mainly in the field of unmanned vehicles. The algorithm proposed in this paper is aimed at the pavement recognition which based on mobile devices. This paper presents a method for identifying pedestrian paths in green spaces. The method uses image filtering and morphological processing to optimize the calculation amount of the image which reduce the operation time of the single image, and classify the main color content of the image. And then process the image in the HSV color space. Finally, we propose a two-dimensional matrix template for extracting the pavement edge information of the processed image. Experimental results show that this method can quickly process images, and effectively identify the pavement edge and pavement area of the target scene, enabling the algorithm to be applied to real-time pavement recognition of mobile devices. The results obtained by this method can be used in mobile devices to provide functions such as road recognition or augmented reality navigation.


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    Title :

    Research on Pavement recognition algorithm Based on Mobile device


    Contributors:
    Qiu, Yidong (author) / Li, Jianwei (author)


    Publication date :

    2019-07-01


    Size :

    480734 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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