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    • 1. 发明申请
    • SELF-ADAPTIVE IMAGE-BASED OBSTACLE DETECTION METHOD
    • 基于自适应图像的OBSTACLE检测方法
    • US20130329945A1
    • 2013-12-12
    • US13568824
    • 2012-08-07
    • Chih-Hung YANGLi-You Hsu
    • Chih-Hung YANGLi-You Hsu
    • G06K9/78
    • G06K9/00805G06K9/00798
    • A self-adaptive image-based obstacle detection method comprises steps: capturing an original image; transforming the original image to an HSV color space, and retrieving a hue component (H) and a saturation component (S) of the HSV color space to form an HS-based image; dividing the HS-based image into image blocks; selecting one image block as a background block; using an obstacle recognition equation to determine whether each of the image blocks is similar to the background block; if no, deleting the image block; if yes, preserving the image block to form a binary obstacle image; and overlaying the binary obstacle image on the original image to filter out the background and obtain an initial ambit of an obstacle image. Then, three orderly movement flow equations are used to determine whether it is an obstacle.
    • 基于自适应图像的障碍物检测方法包括以下步骤:捕获原始图像; 将原始图像变换为HSV颜色空间,以及检索HSV颜色空间的色调分量(H)和饱和度分量(S)以形成基于HS的图像; 将基于HS的图像划分为图像块; 选择一个图像块作为背景块; 使用障碍物识别方程来确定每个图像块是否与背景块相似; 如果没有,删除图像块; 如果是,则保存图像块以形成二进制障碍物图像; 并将二值障碍物图像重叠在原始图像上以滤除背景并获得障碍物图像的初始范围。 然后,使用三个有序的运动流动方程来确定它是否是障碍。