摘要
针对目前相位编组方法抗噪性能差及固定梯度分区方式局限性等问题,提出了一种基于自适应分区的相位编组直线提取算法。首先采用自适应平滑和Wallis滤波对影像进行预处理及边缘检测;然后,采用自适应分区的方式确定出适应于图像的最优分区方式,从而生成直线支持区;最后,进行最小二乘直线拟合及直线合并。实验结果表明,该算法能有效地解决噪声及固定梯度分区方式造成的提取直线断裂、误提取等情况,直线提取完整、准确,适用性强。
Concerning the poor performance in anti-noise and the limitations of the fixed partition of the phase-grouping method, an adaptive phase partitioning method was proposed. Firstly, this paper used the adaptive smoothing and Wallis filtering for image pre-processing and adopted the Canny method for edge detection; secondly, selected the optimal partitioning of the image based on the adaptive phase partitioning method to create the line supporting area; finally, fitted and merged the lines by the least squares method. The experimental results show that the proposed method can effectively solve the line breakage and mistaken extraction caused by the noise and fixed partition, and this method extracts line completely and precisely.
出处
《计算机应用》
CSCD
北大核心
2013年第6期1691-1694,共4页
journal of Computer Applications
基金
国家自然科学基金资助项目(41101452
40901222)
武汉大学测绘遥感信息工程国家重点实验室开放基金资助项目(11I02)
高等学校博士学科点专项科研基金资助项目(20112121120003)
关键词
直线提取
相位编组
自适应分区
line extraction
phase-grouping
adaptive partitioning
