Improvement of Hessian based vessel segmentation using two stage threshold and morphological image recovering

Authors:
Seyed Mostafa Mirhassani;M. M. Hosseini;Alireza Behrad
Affiliations:
Department of Electrical and Computer Engineering, Islamic Azad University, Shahrood, Iran;Department of Electrical and Computer Engineering, Islamic Azad University, Shahrood, Iran;Engineering Department, SHAHED University, Tehran, Iran
Venue:
IIT'09 Proceedings of the 6th international conference on Innovations in information technology
Year:
2009

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Abstract

In many of vessel segmentation methods, Hessian based vessel enhancementfilter as an efficient step is employed. In this paper, for segmentation of vessels, HBVF method is the first step of the algorithm. Afterward, to remove non-vessels from image, a high level threshold is applied to the filtered image. Since, as a result of threshold some of weak vessels are removed, recovering ofvessels using Hough transform and morphological operations is accomplished. Then, the yielded image is combined with a version of vesselness filtered image which is converted to a binary image using a low level threshold. As a consequence ofimage combination, most ofvessels are detected. In the final step, to reduce thefalse positives, fine particles are removedfrom the result according to their size. Experiments indicate the promising results which demonstrate the efficiency of the proposed algorithm.