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An improved GABOR wavelet transform and rough k-means clustering algorithm for MRI BRAIN tumor image segmentation
Our Proposed research is about tumor identification in the human brain. Here, MRI images are considered as the key factor in this research. There are...
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A novel descriptor (LGBQ) based on Gabor filters
Recently, many existing automatic facial verification methods have focused on learning the optimal distance measurements between facials. Especially...
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An approach for brain tumour detection based on dual-tree complex Gabor wavelet transform and neural network using Hadoop big data analysis
Segmentation and classification of the abnormalities on the brain are necessary to save one’s life; hence the data acquired by magnetic resonance...
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Fundamentals of Gabor Wavelet Filter Banks
Gabor wavelets are a family of complex-valued functions that are frequently used in image analysis and signal processing because of their high...
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Gabor Filter and Centre Symmetric-Local Binary Pattern based technique for forgery detection in images
This paper presents a new approach for the detection of copy-move image forgery, a commonly employed technique for image manipulation. The proposed...
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Design of Dyadic Gabor Wavelet Filter Banks
Gabor wavelet is widely used in the analysis of texture features. It is found that Gabor wavelet filter bank (FB) requires infinite precision (due to...
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Design of Adaptive Gabor Wavelet Filter Banks
Gabor wavelet is widely used in the analysis of texture feature. This chapter presents a novel feature descriptor based on the design of adaptive...
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SAR image change detection based on Gabor wavelets and convolutional wavelet neural networks
Synthetic aperture radar (SAR) image change detection technology is of great significance. In the existing convolutional wavelet neural networks...
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Wilson’s disease classification using higher-order Gabor tensors and various classifiers on a small and imbalanced brain MRI dataset
Wilson’s Disease (WD) is a rare, autosomal recessive disorder caused by excessive accumulation of Copper (Cu) in various human organs such as the...
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Log-Gabor directional region entropy adaptive guided filtering for multispectral pansharpening
The fusion of multispectral (MS) image and panchromatic (PAN) image, also known as MS pansharpening, has become an important research field in remote...
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Fabric defect detection algorithm based on residual energy distribution and Gabor feature fusion
Gabor filter is a time-frequency combined analysis method, which is suitable for detecting local anomalies in periodic textures. Gabor-based methods...
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Iris recognition based on local circular Gabor filters and multi-scale convolution feature fusion network
With the development of the social economy, the identification of biological characteristics has received more and more attention, and the iris is...
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A Gabor feature-based full reference video quality assessment model based on spatiotemporal slice of videos
The distortion of video is under the twin impacts of spatial and temporal distortions. Some of the video quality assessment (VQA) metrics assess the...
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Optimal Gabor sub-band-based spectral kurtosis and Teager Kaiser energy for maritime target detection in SAR images
Detecting and tracking maritime targets through Synthetic Aperture Radar (SAR) images is an important application in automated maritime surveillance...
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Gabor Wavelet Based Fused Texture Features for Identification of Mungbean Leaf Diseases
Early diagnosis of crop plant disease is crucial since many of these diseases pose a considerable threat not only to global food security but also...
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Fast recognition system forTree images based on dual-task Gabor convolutional neural network
Aiming at the difficult problem of complex extraction for tree image in the existing complex background, we took tree species as the research object...
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Real-time face detection using circular sliding of the Gabor energy and neural networks
Face detection is one of the most important subjects in image processing. Over time, researchers have paid much attention to the subject, and they...
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An improved Gabor wavelet transform and rough K-means clustering algorithm for MRI brain tumor image segmentation
Image processing is significant in the medical field which provides detailed information about medical images and image segmentation is an essential...
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Automatic Breast Tumor Classification in Ultrasound Images Using Morphological Features and New Texture Analysis Based on Image Visibility Graph and Gabor Filters
Lesion segmentation is a challenging task in computer-aided diagnosis (CAD) systems. In this paper, an automatic segmentation and diagnosis algorithm...
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An Effective Feature Extraction Approach Based on Spectral-Gabor Space Discriminant Analysis for Hyperspectral Image
With the development of remote sensing technology, hyperspectral sensors can record reflectance of ground objects in hundreds of bands, which...
