大气与环境光学学报, 2013, 8 (6): 448, 网络出版: 2020-11-10
基于二维OTSU选取种子点的区域生长图像分割
Image Segmentation Using Region Growing Based on 2D OTSU to Select Seed Points
摘要
在对连通性要求比较高的图像进行分割时,区域生长方法有独特的优势。在图像复杂的情况下,希望计算 机可以快速并且完整地自动选取种子点。利用二维OTSU对图像进行预分割并以此作为选取种子点的依据, 可以有效解决使用区域生长分割图像时种子点选取的难题。结合对石化炼油炉炉管图像的分割,讨论使 用此种方法的可行性和有效性。
Abstract
For image segmentation in which connectivity requirements are relatively high, region growing method has unique advantages. In the complex situtaion, that the computer can fast, completely and automatically select seed points is needed. Using two-dimensional OTSU pre-segmentation of the image can effectively solve the problem of seed points selection by using region growing image segmentation. Combined the image segmentation with petrochemical refining furnace tube, the feasibility and effectiveness of this method is discussed.
吴海滨, 周雨润, 周英蔚, 陈新兵, 项龙飞, 李梓霂. 基于二维OTSU选取种子点的区域生长图像分割[J]. 大气与环境光学学报, 2013, 8(6): 448. Wu Haibin, Zhou Yurun, Zhou Yingwei, Chen Xinbing, Xiang Longfei, Li Zimu. Image Segmentation Using Region Growing Based on 2D OTSU to Select Seed Points[J]. Journal of Atmospheric and Environmental Optics, 2013, 8(6): 448.