小波融合技术在图像分割算法中的应用研究

Application Research on Wavelet Fusion Technology in Image Segmentation Algorithm

中文关键词:  图像分割  Canny分割  迭代阈值分割  小波融合技术

英文关键词:image segmentation  Canny segmentation  iterative threshold segmentation  wavelet fusion technology

中文摘要:

      针对图像分割出现一些重要信息丢失与过分割的问题，提出了将小波融合技术应用到图像分割算法中，并对其进行实验验证。首先将图像分别进行Canny分割与迭代阈值分割；然后将这两种分割后的图像进行小波融合，得到融合图像。实验验证结果表明，与传统的Canny分割、迭代阈值分割相比，该算法能结合这两种分割算法的优点，互相弥补各自的一些不足之处并具有一定的抗噪声能力。

英文摘要:

      According to the phenomenon of loss of some important information and over segmentation appeared in image segmentation,wavelet fusion technology is applied in image segmentation algorithm,and verified by experiment.Firstly,the image is made respectively by Canny segmentation and iterative threshold segmentation.Then these two segmented images are connected by wavelet transform to obtain the fusion image.The experimental results show that compared with the conventional Canny segmentation and iterative threshold segmentation,the proposed algorithm is combined with the advantages of the two segmentation algorithms,to make up for each other their respective shortcomings and has the ability to resist noise.