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自动化与信息科学期刊

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ISSN 打印: 1064-2315

ISSN 在线: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

Application of Recurrent Means of Clusterization to Image Segmentation

卷 37, 册 3, 2005, pp. 52-59
DOI: 10.1615/J Automat Inf Scien.v37.i3.60
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摘要

The problem on creating algorithms for linear clusterization of points in multidimensional space is considered. The approach is based on the results of experiments performed by the authors in the field of projective and pseudoinverse matrix perturbation and on recurrent estimation of point sets accumulation. This method of clusterizing the points is applied to problems on image segmentation. The work contains the results of its application to tasks on processing data for populated areas photos made from space. The brief literature review of image fragmentation by clusterizing techniques as well as classification of existing methods have been presented. The place and category of the proposed method have been identified.

对本文的引用
  1. Kirichenko N. F., Krivonos Yu. G., Lepekha N. P., Optimization of the synthesis of hyperplane clusters and neurofunctional transforms in signal classification systems, Cybernetics and Systems Analysis, 44, 6, 2008. Crossref

  2. Ala'raj Maher, Majdalawieh Munir, A Hybrid Approach for Counting Templates in Images, Proceedings of the 2020 2nd International Conference on Image, Video and Signal Processing, 2020. Crossref

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