摘要
水下图像中目标边缘的检测精度决定了目标的定位和尺寸检测精度,水下目标一般为管状,目标边缘定位难度大,本文针对以上应用环境提出了一种边缘精确定位的方法。首先采用区域分割的方法得到目标的粗略位置,然后细化目标得到管状目标的中轴线,最后用参数拟合的方法来提取目标边缘,既有效抑制了噪声和背景的干扰,又提高了边缘定位的精度。
The location accuracy and size detection accuracy of underwater object is determined by the edge detection accuracy of object; and the underwater targets are generally tubular, so it's hard to get precise edge position. A method to detect edge position is proposed in this paper. First, the approximate location was obtained by region segmentation;then the central axis of target was determined by image thinning; and at last, the edge was precisely detected based on parameters fitting method. The disturbance of background and other noises are reduced effectively, and the edge position accuracy is improved by this method.
出处
《科技广场》
2017年第9期11-14,共4页
Science Mosaic
基金
湖北省教育厅科学研究计划指导性项目"数字标牌系统中人机交互技术的研究"(编号:B2015138)
湖北省教育厅青年项目(编号:Q20102503)
国家级大创项目"基于手势识别的智能演示系统"(编号:201510513014)
关键词
水下图像
边缘分割
去噪
图像分割
Underwater Image
Edge Detection
Noise Reduction
Image Segmentation