Method of Medical Images Similarity Estimation Based on Feature Analysis

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Zhengbing Hu 1,* Ivan Dychka 2 Yevgeniya Sulema 2 Yuliia Valchuk 2 Oksana Shkurat 2

1. School of Educational Information Technology, Central China Normal University, Wuhan, China

2. National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine

* Corresponding author.


Received: 11 Dec. 2017 / Revised: 1 Feb. 2018 / Accepted: 9 Mar. 2018 / Published: 8 May 2018

Index Terms

Medical Image Processing, Image Feature Extraction


The paper presents the method of medical images similarity estimation based on feature extraction and analysis. The proposed method has been developed for and tested on rat brain histological images, however, it can be applied for other types of medical images, since the general approach is based on consideration of the shape of core components present in a given template image. The proposed method can be used in image analysis tools in a wide range of image-based medical investigations, in particular, in the brain researches.
The theoretical background of the proposed method is presented in the paper. The expert evaluation approach used for assessment of the proposed method effectiveness is explained and illustrated by examples. The method of medical images similarity estimation based on feature analysis consists of several stages: colour model conversion, image normalization, anti-noise filtering, contours search, conversion, and feature analysis. The results of the proposed method algorithmic realization are demonstrated and discussed.

Cite This Paper

Zhengbing Hu, Ivan Dychka, Yevgeniya Sulema, Yuliia Valchuk, Oksana Shkurat, "Method of Medical Images Similarity Estimation Based on Feature Analysis", International Journal of Intelligent Systems and Applications(IJISA), Vol.10, No.5, pp.14-22, 2018. DOI:10.5815/ijisa.2018.05.02


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