A Note on Advantages of the Fuzzy Gabor Filter in Object and Text Detection

Tadić, Vladimir; Lončar-Turukalo, Tatjana; Odry, Ákos; Trpovski, Željen; Tóth, Attila; Vizvári, Zoltán; Ódry, Péter

doi:10.3390/sym13040678

Cited by 7 publications

(3 citation statements)

References 32 publications

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“…The operator has 2 components, which include real and imaginary components. The 2 elements can be used separately or in a complex number 14,15. In Equation 3, the function of the Gabor operator is shown.…”

Section: Methodsmentioning

confidence: 99%

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LSS-Vgg16

Altun¹,

Alkan²,

Altun

2023

Clinical Spine Surgery: A Spine Publication

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Study Design: This was a retrospective study. Objection: Lumbar Spinal Stenosis (LSS) is a disease that causes chronic low back pain and can often be confused with herniated disk. In this study, a deep learning-based classification model is proposed to make LSS diagnosis quickly and automatically with an objective tool. Summary of Background Data: LSS is a disease that causes negative consequences such as low back pain, foot numbness, and pain. Diagnosis of this disease is difficult because it is confused with herniated disk and requires serious expertise. The shape and amount of this stenosis are very important in deciding the surgery and the surgical technique to be applied in these patients. When the spinal canal narrows, as a result of compression on these nerves and/or pressure on the vessels feeding the nerves, poor nutrition of the nerves causes loss of function and structure. Image processing techniques are applied in biomedical images such as MR and CT and high classification success is achieved. In this way, computer-aided diagnosis systems can be realized to help the specialist in the diagnosis of different diseases. Methods: To demonstrate the success of the proposed model, different deep learning methods and traditional machine learning techniques have been studied. Results: The highest classification success was obtained in the VGG16 method, with 87.70%. Conclusions: The proposed LSS-VGG16 model reveals that a computer-aided diagnosis system can be created for the diagnosis of spinal canal stenosis. In addition, it was observed that higher classification success was achieved compared with similar studies in the literature. This shows that the proposed LSS-VGG16 model will be an important resource for scientists who will work in this field.

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Section: Methodsmentioning

confidence: 99%

“…The 2 elements can be used separately or in a complex number. 14,15 In Equation 3, the function of the Gabor operator is shown.…”

Section: Gabormentioning

confidence: 99%

LSS-Vgg16

Altun¹,

Alkan²,

Altun

2023

Clinical Spine Surgery: A Spine Publication

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“…Generally, the Gabor transform is a linear filter that works by combining the time and frequency domain of Fourier and enhancing the image quality using Gaussian filters. Gabor transforms play intelligently with digital images for locating robust textures and objects [50], [51]. Virodhi Dakshayani et al suggest an image-denoising and edges extraction model using Gabor Transforms.…”

Section: E Hough Transform Based Methodsmentioning

confidence: 99%

An Astute Automaton Model for Objects Extraction Using Outer Totality Cellular Automata (OTCA)

Sharma,

Basheer

et al. 2023

IEEE Access

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Object formation is imperative to the recent computer vision, pattern recognition, healthcare, and automation applications. The objects are generated from images by defining edges and the segmentation process. This article introduced a novel method, Outer Totality Cellular Automata (OTCA), for defining actual and continuous edges of the image objects. The OTCA analysis nearby 25 neighbourhood pixels of all the pixels and generate a unique and efficient threshold. The proposed method has three primary functions, i.e. vitality, rule mapping, and improved morphological functions. The key objectives are image smoothing, neighbourhood analysis, defining game of life rule, and edges smoothing. Notably, the proposed method aimed to segment different coloured images, i.e., RGB, HSV, and YUV. The proposed method also aimed to produce more truthful results on blurred, reflected, shaded night vision images. The experimental process demonstrates using standard open-source datasets and validated using image quality assessment parameters, i.e., entropy, PSNR, SSIM, and MSE. The results claim 3% − 12% more structural analogous, factual, and accurate than existing classical methods and recent searches.

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The Gabor Filter Application in Satellite Analysis of “Invisible” Orographic Waves

Fedoseeva

Simakina

2022

Springer Proceedings in Earth and Environmental Sciences

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A Note on Advantages of the Fuzzy Gabor Filter in Object and Text Detection

Cited by 7 publications

References 32 publications

LSS-Vgg16

LSS-Vgg16

An Astute Automaton Model for Objects Extraction Using Outer Totality Cellular Automata (OTCA)

The Gabor Filter Application in Satellite Analysis of “Invisible” Orographic Waves

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