基于小波变换的红外图像边缘提取研究

红外图像的边缘提取是其判读和识别的重要技术基础.红外图像背景复杂、噪声较为严重.针对这一特点,利用小波变换易于消除噪声、运算方便的特点,提出了一种基于小波变换的红外图像边缘提取算法.首先利用小波算法对红外图像进行滤噪,然后利用高斯函数作为平滑函数对图像进行水平和垂直方向的小波变换,提取红外图像边缘特征.给出了仿真实例,证明了该算法的科学性和可靠性.

Infrared Image Edge Withdrawing Research Based on Wavelet Transform

Infrared image edge withdraw is the important tec hn ique basis of image interpretation. Infrared image 's background is complicate, noise is serious.Aim at this characteristics, This text make use of the characte ristics of wavelet transformation's easyly to dissolving the noise and convenie ntly to calculate , bring upped a infrared image edge withdrawing calculate way based on wavelet transform. Firstly, make use of the calculate way of wavelet to do away with noise of infrared image, Then make use of the smooth function of c onduct and actions of gauss function to the wavelet transformation proceeding le vel and perpendicular direction, withdrew the infrared image edge.Finally the te xt expressed a imitate example proofed this calculate way is sciency and dependa ble.