Method for calculating the heterogeneity of the linear dimensions of the EIT image

Abstract

The paper proposes a method for calculating the heterogeneity of the linear dimensions of the EIT image. The essence of the method is to identify the region of inhomogeneity Gn by the method of binarization and segmentation and determine its geometric dimensions. The ROI represents a matrix, each element of which is the color value of a particular pixel p. The reconstructed image is being processed. The binarization algorithm processes and determines each element of the matrix, bringing it to a binary form. Next, a w × h matrix is formed and the image is divided into sets p, where, according to the selection criterion Gn, the segmentation procedure is performed using the two-pass ABC-mask method. At the last stage, the geometric dimensions of the inhomogeneity are determined. The results of the analysis of the reconstructed image are presented, the image of the inhomogeneity Gn filtered as a result of binarization and segmentation operations, as well as its geometric parameters are obtained. The operation of the method on computer models for inhomogeneities has been verified. The proposed method allows you to get a clearer and more accurate visualization of the internal structures of the object under study, reduce measurement errors and incorrect solution of the inverse problem.