基于概率Hough线段检测算法的天花板影像边界提取

Ceiling Image Boundary Extraction Based on Probabilistic Hough Line Segment Detection Algorithm

对天花板影像进行线段检测,传统的概率Hough线段检测有两个问题:随机选取边界点导致效率低下;检测结果中含有平行且邻近的多条线段。论文提出了分块处理和线宽控制两种方法,验证了这两种方法可消除噪点对线段检测效率的影响,避免了天花板影像过检测现象的发生。实验表明新方法能快速提取到可靠、完整的天花板的边缘线段,提高了线段检测的效率和质量。

For the line segment detection of ceiling images,the traditional probabilistic Hough line segment detection has two problems.Trandom selection of boundary points leads to low efficiency.The detection result contains multiple parallel and adjacent line segments.The paper provides two methods of block processing and line width control,which verifies that these two methods can eliminate the effect of noise on the line segment detection efficiency and avoid the occurrence of ceiling image over-detection.Experiments show that the new method can quickly extract reliable and complete edge line segments of the ceiling,which improves the efficiency and quality of line segment detection.