A New Optimized Hybrid Local Lifting Wavelet Co-occurrence Texture Pattern for Content Based Medical Image Retrieval

<p class="0abstract">Medical image retrieval (MIR) is a hard task owing to the varied patterns and structures in the medical images. The feature descriptors have been used to describe the images in most MIR approaches. Based on the local relationship, several feature descriptors of n...

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Autores principales:	R Varaprasada Rao, T Jaya Chandra Prasad
Formato:	article
Lenguaje:	EN
Publicado:	International Association of Online Engineering (IAOE) 2021
Materias:	medical image retrieval local tetra pattern gradient directional pattern lifting wavelet transform equilibrium optimization Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/20df2a98f8f9466e9a9e835371209716
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spelling	oai:doaj.org-article:20df2a98f8f9466e9a9e8353712097162021-11-16T07:23:28ZA New Optimized Hybrid Local Lifting Wavelet Co-occurrence Texture Pattern for Content Based Medical Image Retrieval2626-849310.3991/ijoe.v17i11.25351https://doaj.org/article/20df2a98f8f9466e9a9e8353712097162021-11-01T00:00:00Zhttps://online-journals.org/index.php/i-joe/article/view/25351https://doaj.org/toc/2626-8493<p class="0abstract">Medical image retrieval (MIR) is a hard task owing to the varied patterns and structures in the medical images. The feature descriptors have been used to describe the images in most MIR approaches. Based on the local relationship, several feature descriptors of neighbouring image pixels have been proposed for MIR so far, but their low performance scores make them unsuitable. In this paper, an efficient optimized hybrid local lifting wavelet co-occurrence texture pattern for content-based MIR is proposed. Initially, image resize and Adaptive histogram equalization technique is used to carried out for contrast enhancement. Then Local Lifting Wavelet Co-occurrence Texture Pattern is derived using Local tetra pattern, Gradient directional pattern, lifting wavelet transform and Gray level co-occurrence matrix. An Equilibrium optimization technique is employed to select the most important features of an image from the obtained feature vectors (FV). Finally, to match the query image with the database images, distance between their FV is computed and the minimum distance images are considered as retrieval outcome. Three benchmark medical databases of various modalities (CT and MRI) are used to test the efficiency of the proposed method: EXACT-09, TCIA-CT, and OASIS. The experimental results prove that the proposed approach outperforms existing descriptors in terms of APR and ARR.</p>R Varaprasada RaoT Jaya Chandra PrasadInternational Association of Online Engineering (IAOE)articlemedical image retrievallocal tetra patterngradient directional patternlifting wavelet transformequilibrium optimizationComputer applications to medicine. Medical informaticsR858-859.7ENInternational Journal of Online and Biomedical Engineering, Vol 17, Iss 11, Pp 157-175 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	medical image retrieval local tetra pattern gradient directional pattern lifting wavelet transform equilibrium optimization Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	medical image retrieval local tetra pattern gradient directional pattern lifting wavelet transform equilibrium optimization Computer applications to medicine. Medical informatics R858-859.7 R Varaprasada Rao T Jaya Chandra Prasad A New Optimized Hybrid Local Lifting Wavelet Co-occurrence Texture Pattern for Content Based Medical Image Retrieval
description	<p class="0abstract">Medical image retrieval (MIR) is a hard task owing to the varied patterns and structures in the medical images. The feature descriptors have been used to describe the images in most MIR approaches. Based on the local relationship, several feature descriptors of neighbouring image pixels have been proposed for MIR so far, but their low performance scores make them unsuitable. In this paper, an efficient optimized hybrid local lifting wavelet co-occurrence texture pattern for content-based MIR is proposed. Initially, image resize and Adaptive histogram equalization technique is used to carried out for contrast enhancement. Then Local Lifting Wavelet Co-occurrence Texture Pattern is derived using Local tetra pattern, Gradient directional pattern, lifting wavelet transform and Gray level co-occurrence matrix. An Equilibrium optimization technique is employed to select the most important features of an image from the obtained feature vectors (FV). Finally, to match the query image with the database images, distance between their FV is computed and the minimum distance images are considered as retrieval outcome. Three benchmark medical databases of various modalities (CT and MRI) are used to test the efficiency of the proposed method: EXACT-09, TCIA-CT, and OASIS. The experimental results prove that the proposed approach outperforms existing descriptors in terms of APR and ARR.</p>
format	article
author	R Varaprasada Rao T Jaya Chandra Prasad
author_facet	R Varaprasada Rao T Jaya Chandra Prasad
author_sort	R Varaprasada Rao
title	A New Optimized Hybrid Local Lifting Wavelet Co-occurrence Texture Pattern for Content Based Medical Image Retrieval
title_short	A New Optimized Hybrid Local Lifting Wavelet Co-occurrence Texture Pattern for Content Based Medical Image Retrieval
title_full	A New Optimized Hybrid Local Lifting Wavelet Co-occurrence Texture Pattern for Content Based Medical Image Retrieval
title_fullStr	A New Optimized Hybrid Local Lifting Wavelet Co-occurrence Texture Pattern for Content Based Medical Image Retrieval
title_full_unstemmed	A New Optimized Hybrid Local Lifting Wavelet Co-occurrence Texture Pattern for Content Based Medical Image Retrieval
title_sort	new optimized hybrid local lifting wavelet co-occurrence texture pattern for content based medical image retrieval
publisher	International Association of Online Engineering (IAOE)
publishDate	2021
url	https://doaj.org/article/20df2a98f8f9466e9a9e835371209716
work_keys_str_mv	AT rvaraprasadarao anewoptimizedhybridlocalliftingwaveletcooccurrencetexturepatternforcontentbasedmedicalimageretrieval AT tjayachandraprasad anewoptimizedhybridlocalliftingwaveletcooccurrencetexturepatternforcontentbasedmedicalimageretrieval AT rvaraprasadarao newoptimizedhybridlocalliftingwaveletcooccurrencetexturepatternforcontentbasedmedicalimageretrieval AT tjayachandraprasad newoptimizedhybridlocalliftingwaveletcooccurrencetexturepatternforcontentbasedmedicalimageretrieval
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A New Optimized Hybrid Local Lifting Wavelet Co-occurrence Texture Pattern for Content Based Medical Image Retrieval

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