Morphology operators construction by adaptive elliptical structuring elements based on nonlinear structure tensor

2016 International Conference on Communication, Image and Signal Processing

物理学;无线电电子学;计算机科学

Tang, Chunming^1 ; Liu, Xinlei^1 ; Li, Yanjie^1 ; Zhao, Hongbo^1

School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin

300387, China^1

关键词: Corner protection;    Gradient direction;    Gray level image;    Hit-or-Miss Transform;    Linear structure tensors;    Morphological operator;    Nonlinear structure tensor;    Structuring element;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/787/1/012021/pdf
DOI  :  10.1088/1742-6596/787/1/012021

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

As the linear structure tensor is tending to inaccurately or even wrong estimate the gradient direction of a gray-level image, we present a novel algorithm to construct adaptive elliptical structuring elements via estimating the local anisotropy of an image based on the nonlinear structure tensor. Erosion, dilation, opening, closing and Hit-or-Miss transform are redefined according to the presented structuring elements, which have been applied to some representative images. The processed results and the quantitative analysis show that the novel morphological operators have more advantages in structure adaptation, corner protection, filtering and targets extraction than the others.