一种改进的联合图像分解及边缘提取模型

摘要

Since the model combining image decomposition with edge extraction is not good enough in processing complex image, this paper proposes an improved model. The diffusion tensor by Weickert(Intematiooa] Journal of Computer Vision, 1999, No.2) is used to improve edge b regularization of the model, enabling respectively in the gradient direction and along the edge direction to control the edge b diffusion rate. Experimental results show that the improved model can improve the edge extraction accuracy, and reduce the singularity.%针对联合图像分解及边缘提取模型对复杂纹理图像提取的边缘信息不完整、存在奇异点等问题,提出一种改进模型.利用Weickert 提出的扩散张量(International Journal of Computer Vision,1999,No.2)对模型中边缘b的正则项进行改进,使其能分别在梯度方向和沿边缘方向控制边缘b的扩散率.数值实验结果表明,改进模型可提高边缘提取的准确性,降低奇异性.