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Arabian Journal for Science and Engineering
Erschienen in: Arabian Journal for Science and Engineering 8/2022

08.03.2022 | Research Article-Computer Engineering and Computer Science

Histogram of Low-Level Visual Features for Salient Feature Extraction

verfasst von: Rubab Mehboob, Ali Javed, Hassan Dawood, Hussain Dawood

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 8/2022

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Abstract

Distinctive and robust feature representation plays a crucial role in various multimedia applications. The descriptors invariant to rotations and textural viewpoints are able to extract discriminant features. In this paper, an improved feature descriptor named histogram of low-level visual features (HILL-VF) is proposed to extract distinctive features. In HILL-VF, fused edge maps based on gradient magnitude (FEM-GM) are obtained by using the directional derivative filters of Sobel and Scharr operators in YCbCr color space. Diffusion equation integrates the inherent edge details extracted by Sobel and Scharr edge detection operator by giving higher weights to the chroma components of the image. Moreover, phase maps based on Gabor features (PH-MGF) characterize the phase information by using Gabor filters by varying different orientations. Micro-FEM-GM and PH-MGF are generated by encoding the FEM-GM and PH-MGF into pre-defined intervals based on the selected seed values. These encoded micro-maps are then represented through a 2-D histogram. Experimental evaluations are conducted on four standard benchmarks, i.e., Coil-100k, KTH-TIPS, KTH-TIPS2-a, and -b. Experimental results indicate that we are able to increase the classification accuracy to 96.97%, 87.5%, 97%, and 93.01% on Coil-100, KTH-TIPS, KTH-TIPS2-a, and -b, respectively.
Vorheriger Artikel An Adaptive Gaussian Kernel for Support Vector Machine
Nächster Artikel Disposition-Based Concept Drift Detection and Adaptation in Data Stream

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Metadaten
Titel
Histogram of Low-Level Visual Features for Salient Feature Extraction
verfasst von
Rubab Mehboob
Ali Javed
Hassan Dawood
Hussain Dawood
Publikationsdatum
08.03.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
Arabian Journal for Science and Engineering / Ausgabe 8/2022
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-022-06644-5

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