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International Journal of Multimedia Information Retrieval

Erschienen in:

03.04.2019 | Regular Paper

3D local circular difference patterns for biomedical image retrieval

verfasst von: Nilima Mohite, Laxman Waghmare, Anil Gonde, Santoshkumar Vipparthi

Erschienen in: International Journal of Multimedia Information Retrieval | Ausgabe 2/2019

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Abstract

In this paper, three-dimensional local circular difference patterns (3D LCDP) and three-dimensional local circular difference wavelet patterns (3D LCDWP) are proposed for retrieval of biomedical images. The standard patterns are used to correlate gray value of center pixel with neighboring pixels. In the proposed approach, 3D volume is generated for calculating local circular difference patterns with the help of three planes obtained from original image. In case of color image, RGB channels are used as three planes and Gaussian filter banks of different resolution for gray level image. From this 3D volume, LCDP values are obtained by calculating relationship between center pixel and neighboring pixels in five different directions. Finally, feature vector is generated using histogram. The performance is evaluated using different medical databases: (i) open access series of imaging studies MRI database, (ii) International early lung cancer action program and vision and image analysis research groups CT scans, (iii) MESSIDOR-Retinal image database. The results are compared with existing biomedical image retrieval techniques by considering average retrieval precision and average retrieval rate as evaluation parameters.

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Titel: 3D local circular difference patterns for biomedical image retrieval
verfasst von: Nilima Mohite
Laxman Waghmare
Anil Gonde
Santoshkumar Vipparthi
Publikationsdatum: 03.04.2019
Verlag: Springer London
Erschienen in: International Journal of Multimedia Information Retrieval / Ausgabe 2/2019
Print ISSN: 2192-6611
Elektronische ISSN: 2192-662X
DOI: https://doi.org/10.1007/s13735-019-00170-1

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