基于小波变换与数学形态学的红外图像分割方法

提出一种基于小波变换和形态学相结合的红外图像分割方法,该方法利用小波变换和形态学消除红外图像的混合噪声,抑制背景干扰和增强目标;通过选择适当的结构元素进行系列形态组合运算,自适应确定阈值,提取目标;利用形态学水线区域分割法对图像进行分割,分离目标区域。实验结果表明,该方法能有效检测和分割出低信噪比复杂背景红外图像中的目标。

A method for infrared image segment based on wavelet transform and morphology

A method associating wavelet transform with morphology to remove mixing noise and suppress background disturbance of infrared image is put forward,which can enhance the target.Serial morphology operations by choosing the proper structure element to confirm threshold value and extract the target are carried out.Segmenting infrared image by regional method of morphology watershed,the target region can be isolated.The simulation result indicates that the method can detect and segment the goal in the low SNR infrared image with complicated background effectively.