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Erschienen in:
Digital Image Watermarking Using Sine Transform Technique Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

Comparative Performance Analysis of Local Feature Descriptors for Biomedical Image Retrieval

verfasst von : Suchita Sharma, Ashutosh Aggarwal

Erschienen in: Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Verlag: Springer International Publishing

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Abstract

Biomedical imaging field is growing enormously from last decade. The medical images have been used and stored continuously for diagnosis as well as research purposes. There exist several methods that tend to provide real-time retrieval of medical images from such storage repositories. Therefore, in this paper, we strive to present an exhaustive performance comparison of existing and recently published state-of-the-art local feature descriptors for retrieval of CT and MR images. All the compared methods have been tested on two standard test databases, namely, NEMA CT and NEMA MRI. Additional experiments have been conducted to analyze the noise robustness ability of all the compared approaches. Lastly, the methods are also compared in terms of their computational complexity and total CPU time taken to retrieve images corresponding to the given query image.

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Metadaten
Titel
Comparative Performance Analysis of Local Feature Descriptors for Biomedical Image Retrieval
verfasst von
Suchita Sharma
Ashutosh Aggarwal
Copyright-Jahr
2019
Buch
Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Print ISBN: 978-3-030-00664-8

Electronic ISBN: 978-3-030-00665-5

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-00665-5_100

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