液晶与显示2013，Vol.28Issue(1)：115-119,5.DOI:10.3788/YJYXS20132801.0115
基于改进差分盒维数的烟雾分割方法
Smoke Segmentation Method Based on Improved Differential Box-Counting Fractal Dimension
摘要
Abstract
Aiming at the different texture characteristics of the forest and the smoke image,a smoke segmentation method about the improvement of differential box-counting(DBC) fractal dimension algorithm is proposed. Firstly,the improved algorithm expands the scope of child window based on the existing algorithm,calculates every pixel fractal dimension and analyses them. Then,it filters the pixels marked the smoke feature by choosing the fit threshold,it can realize smoke image segmentation. Finally,the expansive algorithm in the morphology is used to the connected processing. The experimental results demonstrate that the improved differential box-counting fractal dimension algorithm has a satisfying segmentation result.关键词
差分盒维数/分形/图像分割/数学形态学/烟雾图像Key words
differential box-counting/ fractal/ image segmentation/ mathematical morphology/ smoke image分类
信息技术与安全科学引用本文复制引用
于海晶,李桂菊..基于改进差分盒维数的烟雾分割方法[J].液晶与显示,2013,28(1):115-119,5.基金项目
国家自然科学基金(No.61172111) （No.61172111）
