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Title
A New Multiphase Segmentation Method Using Eigenvectors Based on K Real Numbers
Type of Research Article
Keywords
Region detection , Segmentation, Ridge, Eigenvector, Edge detection
Abstract
In this paper, a new multiphase segmentation which has two stages is proposed. At the first stage, independent from the kind of image, k equidistant real numbers within [0, 1] interval are set as the labels of k main regions. At the second stage, two factors are used, which consist of the intensity function for distinguishing similar regions, as well as the eigenvector of Hessian matrix for distinguishing similar ridges with an auxiliary parameter for controlling the influence of this factor in different images. Also, an iterative algorithm is applied for gradually growing the region. Numerical experiences are given to illustrate the effectiveness of the proposed methods.
Researchers Ladan Sharafyan Cigaroudy (First Researcher)، Nasser Aghazadeh (Second Researcher)