Unsupervised Method for Building Detection using Gabor Filters

Daamouche, Abdelhamid; Fares, Dalila; Maalem, I.; Zemmouri, K.

doi:10.12693/aphyspola.130.28

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…Avinash et al [40] proposed using Gabor filters and the marker-driven watershed segmentation technique in CT images to detect lung cancer in its early stages, overcoming the limitations of previous methods. Daamouche et al [41] also employed Gabor filters in their unsupervised method for building detection on remotely sensed images. Hemalatha and Sumathi [42] utilized the median and Gabor filters in combination with histogram equalization to preprocess images and enhance their quality, resulting in color-normalized, noise-reduced, edge-enhanced, and contrast-illuminated images.…”

Section: Gabor Filtersmentioning

confidence: 99%

Enhancing CNNs Performance on Object Recognition Tasks with Gabor Initialization

Rivas,

Rai

2023

Electronics

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The use of Gabor filters in image processing has been well-established, and these filters are recognized for their exceptional feature extraction capabilities. These filters are usually applied through convolution. While convolutional neural networks (CNNs) are designed to learn optimal filters, little research exists regarding any advantages of initializing CNNs with Gabor filters. In this study, the performance of CNNs initialized with Gabor filters is compared to traditional CNNs with random initialization on six object recognition datasets. The results indicated that the Gabor-initialized CNNs outperformed the traditional CNNs in terms of accuracy, area under the curve, minimum loss, and convergence speed. A statistical analysis was performed to validate the performance of the classifiers, and the results showed that the Gabor classifiers outperformed the baseline classifiers. The findings of this study provide robust evidence in favor of using Gabor-based methods for initializing the receptive fields of CNN architectures.

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Section: Gabor Filtersmentioning

confidence: 99%

Enhancing CNNs Performance on Object Recognition Tasks with Gabor Initialization

Rivas,

Rai

2023

Electronics

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“…Delay partial and partial integro-differential equations play an important role in many scientific areas such as biology, physics, and engineering [1][2][3][4][5][6][7]. Furthermore, the approximation methods of these type of problems have been developed by many authors [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Laguerre Polynomial Solutions of a Class of Delay Partial Functional Differential Equations

Gürbüz

Sezer

2017

Acta Phys. Pol. A

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In this study, we develop a novel matrix collocation method based on the Laguerre polynomials to find the approximate solutions of some parabolic delay differential equations with integral terms subject to appropriate initial and boundary conditions. The method reduces the solution of the mentioned equations to the solution of a matrix equation which corresponds to system of algebraic equations with unknown Laguerre coefficients. Besides, the error analysis together with numerical results are performed to illustrate the efficiency of our method computationally.

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“…In the recent decades, the problem of soil-structure interaction (SSI) in the seismic analysis and design of structures has become more important [1]. Many experimental, numerical and theoretical methods have been applied in the research of soil-structure interactions [2].…”

Section: Introductionmentioning

confidence: 99%

Scaled Soil-Structure Interaction Model for Shaking Table Testing

2017

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The primarily goal of this study is to reveal a scaled soil-structure interaction model for small capacity shaking table testing instead of the full-scale field experiments. The prototype of soil-structure interaction system with frame-type building, resting on a sandy soil with shear wave velocity of 536 m/s and unit weight of 12.9 kN/m 3 has been selected. For experimental investigations, the realistic site and building structures are scaled with a geometric scaling factor of 1:45. The test model, consisting of six-story steel frame-type building, natural soil and laminar soil container, is designed and constructed to realistically simulate the seismic soil-structure interaction effects of building structures in shaking table tests. In order to verify the geometric scaling factor, the dynamic properties of the fixed-base system for both prototype and scaled model are determined by using finite element analysis. Furthermore, the dynamic parameters for scaled model of a single layer soil, restricted with base-rock, have been compared numerically with the proposed laminar soil container, to provide a good agreement.

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Unsupervised Method for Building Detection using Gabor Filters

Cited by 5 publications

References 8 publications

Enhancing CNNs Performance on Object Recognition Tasks with Gabor Initialization

Enhancing CNNs Performance on Object Recognition Tasks with Gabor Initialization

Laguerre Polynomial Solutions of a Class of Delay Partial Functional Differential Equations

Scaled Soil-Structure Interaction Model for Shaking Table Testing

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