Performance and Analysis of Ground-Glass Pattern Detection in Lung Disease based on High-Resolution Computed Tomography

Bennet, M. Anto; Nair, Resmi R.; Mahalakshmi, V.; Janakiraman, G.

doi:10.17485/ijst/2016/v9i2/71285

Cited by 4 publications

(2 citation statements)

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“…Incorporating in an image creates an anomaly in the texture [38]. Gabor filter is an excellent band-pass filter and is used to utilize representation of images, texture segmentation, edge detection, and image coding [39]. The Gabor filters transform can be described as [40] :…”

Section: A Filter Transformationmentioning

confidence: 99%

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Comparison Study Between Image Retrieval Methods

Al-Obaide¹,

Al-Ani²

2022

Iraqi Journal of ICT

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Searching for a relevant image in an archive is a problematic research issue for the computer vision research community. The majority of search engines retrieve images using traditional text-based approaches that rely on captions and metadata. Extensive research has been reported in the last two decades for content-based image retrieval (CBIR), analysis, and image classification. Content-Based Image Retrieval is a process that provides a framework for image search, and low-level visual features are commonly used to retrieve the images from the image database. The essential requirement in any image retrieval process is to sort the images with a close similarity in terms of visual appearance. The shape, color, and texture are examples of low-level image features. In image classification-based models and CBIR, high-level image visuals are expressed in the form of feature vectors made up of numerical values. The researcher's findings a significant gap between human visual comprehension and image feature representation. In this paper, we plan to present a comparison study and a comprehensive overview of the recent developments in the field of CBIR and image representation.

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Section: A Filter Transformationmentioning

confidence: 99%

“…While Gabor filters texture features are the best overall, they do have some drawbacks because they use wavelets as a filter bank. Wavelets are not effective at representing image edge discontinuities [39]. Furthermore, Gabor spectral coverage is not complete to avoid spectral-domain overlap.…”

Section: A Filter Transformationmentioning

confidence: 99%