Method for constructing morphological operators by using adaptive quasi-circular structural elements on basis of nonlinear structure tensor

Abstract

The invention relates to a method for constructing morphological operators by using adaptive quasi-circular structural elements on the basis of a nonlinear structure tensor. For overcoming the shortcoming that by a linear structure tensor, inaccurate and even mistaken gradient information is easily estimated, the nonlinear structure tensor replaces the linear structure tensor at first, a feature value and a feature vector of the nonlinear structure tensor are calculated, then two measurement parameters including edge strength measurement and angular point strength measurement are defined, image features such as an edge region, a smooth region and corner are distinguished clearly, so that long semi-axes, short semi-axes and directions of adaptive oval structure elements are defined, in order to enable the obtained adaptive structure elements to be close to prefect oval shapes, the oval structural elements and original images are subjected to interpolation processing, and finally morphological operators such as adaptive corrosion, expansion, opening operation, closing operation and hit or miss transformation are redefined by the proposed adaptive quasi-circular structural elements. Confirmatory experiment results show that compared with other methods, the method has good effects in the aspects of structure adapting, angular point protection, filtering, target extracting and the like.

Description

technical field [0001] What is involved here is the research on the method of constructing morphological operators based on the adaptive circular structure elements of nonlinear structure tensor. First calculate the eigenvalues ​​and eigenvectors of the nonlinear structure tensor, and use them to define the corner intensity measure and edge intensity measure, so as to accurately estimate the local anisotropy characteristics of the image; then use the corner point and edge intensity measure to define the ellipse structure element Calculation formulas of major axis, minor axis and direction; at the same time, interpolation processing is performed on the obtained ellipse structural elements and original images; finally, adaptive corrosion, expansion, opening, closing and hit-and-miss are constructed by using adaptive circular-like structural elements Transformation and other morphological operators. Background technique [0002] When mathematical morphology is first applied to...

AI Technical Summary

Problems solved by technology

However, the linear structure tensor uses Gaussian smoothing technology, which is easy to blur the details of the image, especially close to the edge of two different feature areas in the image

Images