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基于改进Bubble函数的红外图像边缘提取方法
引用本文:余瑞星,李言俊,张科.基于改进Bubble函数的红外图像边缘提取方法[J].红外技术,2006,28(1):36-38.
作者姓名:余瑞星  李言俊  张科
作者单位:西北工业大学,航天学院,陕西,西安,710072
基金项目:高等学校博士学科点专项科研项目
摘    要:针对bubble函数不具有调节带宽的缺点,提出了一种改进的bubble函数,该改进函数能够通过调节参数来获取不同时域、频域响应和滤波效果。将改进后的bubble函数与平稳小波相结合构造出多分辨率网络,该网络利用平稳小波变换去除噪声、利用改进bubble函数增强图像边缘,从而可以准确、有效、快速的提取出图像的边缘。实验结果表明,该方法优于传统bubble函数与平稳小波相结合提取边缘的效果。

关 键 词:改进的bubble函数  边缘提取  平稳小波变换  阈值去噪
文章编号:1001-8891(2006)01-0036-03

Infrared Image Edge Detection Using Improved Bubble Function
YU Rui-xing,LI Yan-jun,ZHANG Ke.Infrared Image Edge Detection Using Improved Bubble Function[J].Infrared Technology,2006,28(1):36-38.
Authors:YU Rui-xing  LI Yan-jun  ZHANG Ke
Abstract:Bubble function is a band pass filter in the frequency domains, while it doesn't have the ability to adjust bandwidth of filter. Therefor an improved bubble function was proposed, it can get different time-frequency domain response and filtering effect through adjusting parameter. And the improved bubble function was combined with stationary wavelet to get multiresolution network. Using improved bubble function to enhance the contrast and stationary wavelet to reduce the noise, the edge can be distilled with lower noise exactly、 effectively and quickly. The developed algorithm is verified better than the traditional bubble function.
Keywords:improved bubble function  edge detection  stationary wavelet transform (SWT)  threshold denoising
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