Improving convolutional neural network accuracy using Gabor filter | by Anass BAIROUK | Medium
Automatic parameters selection of Gabor filters with the imperialism competitive algorithm with application to retinal vessel segmentation - ScienceDirect
PDF) Automation of Optimized Gabor Filter Parameter Selection for Road Cracks Detection
Optimal Gabor filter subset using a genetic algorithm
Can you describe various Gabor Filter parameters? - Quora
Gabor Parameter Selection for Local Feature Detection *
Frequency-domain parameters of a Gabor filter. | Download Scientific Diagram
Adjudicating between face-coding models with individual-face fMRI responses | bioRxiv
Images of Gabor filter kernels with different parameters σ-λ θ. | Download Scientific Diagram
EVALUATION OF GABOR FILTER PARAMETERS FOR IMAGE ENHANCEMENT AND SEGMENTATION
Gabor filter for image processing and computer vision - Model parameters
Sensors | Free Full-Text | Crack Detection in Concrete Tunnels Using a Gabor Filter Invariant to Rotation | HTML
Opencv getGaborKernel parameters for filter bank - Stack Overflow
Gabor Filters - an overview | ScienceDirect Topics
PDF) Classification of textures in satellite image with Gabor filters and a multi layer perceptron with back propagation algorithm obtaining high accuracy
arXiv:1709.05867v1 [cs.CV] 18 Sep 2017
Frontiers | Matching Pursuit Analysis of Auditory Receptive Fields' Spectro-Temporal Properties | Frontiers in Systems Neuroscience
Recognition of Gray Character Using Gabor Filters - ISIF
PDF) Gabor features for offline Arabic handwriting recognition | Anurag Bhardwaj - Academia.edu
Gabor Parameter Selection for Local Feature Detection 1 Introduction
PDF) Comparison Gabor Filter Parameters for Efficient Edge Detection
Gabor Parameter Selection for Local Feature Detection 1 Introduction
arXiv:1104.4298v2 [cs.CV] 25 Jul 2014
CAVIAR Gabor Filter Feature Detection
Average fiber diameter measurement in Scanning Electron Microscopy images based on Gabor filtering and Hough transform - ScienceDirect
Speech recognition system based on auditory features