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Efficient bat-inspired block matching algorithm with novel motion energy directional histograms for dynamic texture fast recognition
Motion estimation is a crucial step in Dynamic Texture (DT) Motion-based recognition systems, as it directly affects the system’s overall accuracy...
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Iterative unsupervised deep bilateral texture filtering
Texture filtering attempts to retain salient structures and remove insignificant textures. In this paper, we propose a highly effective iterative...
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Color-Correlated Texture Synthesis for Hybrid Indoor Scenes
We introduce an automated pipeline for synthesizing texture maps in complex indoor scenes. With a style sample or color palette as inputs, our...
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An improved OSV cartoon-texture decomposition model
Cartoon-texture decomposition of images is a hot research topic in image processing, its main goal is to decompose a given image into cartoon and...
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PT-CNN: A Non-linear Lightweight Texture Image Classifier
Deep learning models provide better performance for image classification problems. The increased depth of the model, for enhancing the ability to...
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Soil classification using active contour model for efficient texture feature extraction
Precision farming is a systematic approach in agriculture that aims in improving economic and environment status of the farmers. It is achieved by...
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Multi-scale Texture Network for Industrial Surface Defect Detection
Automated surface defect detection is crucial for ensuring product quality in industrial settings. This paper presents a multi-scale texture network...
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Texture classification for visual data using transfer learning
The texture is the most fundamental aspect of a picture that contributes to its recognition. Computer vision challenges such as picture...
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The effect of target and background texture on relative depth discrimination in a virtual environment
The spatial frequency (SF) content of an object’s texture is an important cue for depth perception, although less is known about the role of...
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Texture analysis of edge mapped audio spectrogram for spoofing attack detection
The vulnerability of the Automatic Speaker verification technology to different presentation attacks has drawn much interest to design anti-spoofing...
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Optimizing a combination of texture features with partial swarm optimizer method for bulk raisin classification
Grapes are one of the important agricultural products that are consumed both fresh and dried. By drying grapes in different conditions, various...
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Texture analysis: A potential tool to differentiate primary brain tumors and solitary brain metastasis
We propose a machine learning (ML) approach applied to texture features to differentiate primary brain tumors and solitary brain metastasis. Magnetic...
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V-DAFT: visual technique for texture image defect recognition with denoising autoencoder and fourier transform
Texture is the surface qualities and visual attributes of an object, determined by the arrangement, size, shape, density, and proportion of its...
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Vector solid texture synthesis using unified RBF-based representation and optimization
Solid textures are essential for modeling virtual internal materials. Existing approaches either generate raster solid textures or only focus on...
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A fast method for load detection and classification using texture image classification in intelligent transportation systems
The surveillance and management of cargo fleets is a crucial objective of intelligent transportation systems. Load, especially overload, has a...
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TransDehaze: transformer-enhanced texture attention for end-to-end single image dehaze
Image dehazing plays a pivotal role in enhancing the performance of computer vision applications by restoring the original colors and textures of...
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A machine learning framework for the identification of crops and weeds based on shape curvature and texture properties
Identification of weeds in a crop is a challenging problem for designing an automotive weed management system. Due to similar and indistinguishable...
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Haptic Recognition of Texture Surfaces Using Semi-Supervised Feature Learning Based on Sparse Representation
Haptic cognitive models are used to map the physical stimuli of texture surfaces to subjective haptic cognition, providing robotic systems with...
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Texture and pixel - based satellite image classification using cellular automata
Pixel and texture based classification using a well-defined and efficient architecture is considered as a major challenge. Nowadays, a large number...
