Results 41 to 50 of about 75,969 (161)

Scale-Adaptive Texture Classification [PDF]

2014 22nd International Conference on Pattern Recognition, 2014
Scale invariant texture analysis is a fundamental challenge in image processing. As a consequence of the scale invariance, these kind of features are often characterized by a lower discriminative power. We observed, that scale invariant features did not pose a benefit in classification scenarios with varying scales in the training set. This is supposed
Michael Gadermayr, Sebastian Hegenbart, Andreas Uhl   +2 more
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Active learning strategies for robotic tactile texture recognition tasks

Frontiers in Robotics and AI
Accurate texture classification empowers robots to improve their perception and comprehension of the environment, enabling informed decision-making and appropriate responses to diverse materials and surfaces.
Shemonto Das, Vinicius Prado da Fonseca, Amilcar Soares   +2 more
doaj   +1 more source

Smoke Recognition and Texture Classification Using Improved Local Ternary Patterns

Jisuanji kexue yu tansuo, 2020
To improve detection rate and reduce false alarm rate for smoke recognition, this paper presents local ternary pattern based on confidence level (CLLTP), and further presents a novel multi-CLLTP (M_CLLTP) feature extraction model based on CLLTP. CLLTP is
LI Gang, YUAN Feiniu, XIA Xue, ZHANG Lin, LEI Bangjun
doaj   +1 more source

A Completed Multi-Scale Local Statistics Pattern for Texture Classification

Image Analysis and Stereology
Binary pattern methods play a vital role in extracting texture features. However, most of existing methods struggle to capture comprehensive and discriminative texture information.
Xiaochun Xu, Bin Li, Q.M. Jonathan Wu
doaj   +1 more source

AsTexNet: A Discriminative Scale-Aware Hybrid Texture Representation with Compact Embedding

Applied Sciences
Texture classification remains challenging due to high inter-class similarity, scale variability, and limited labeled data. While handcrafted descriptors capture fine-grained microstructures and CNNs encode global semantics, existing hybrid approaches ...
Vandana Gupta, Ashish Mishra, Nishant Shrivastava   +2 more
doaj   +1 more source

Thyroid Ultrasound Texture Classification Using Autoregressive Features in Conjunction With Machine Learning Approaches

IEEE Access, 2019
The thyroid is one of the largest endocrine glands in the human body, which is involved in several body mechanisms like controlling protein synthesis, use of energy sources, and controlling the body's sensitivity to other hormones.
Prabal Poudel, Alfredo Illanes, Elmer J. G. Ataide, Nazila Esmaeili, Sathish Balakrishnan, Michael Friebe   +5 more
doaj   +1 more source

SuroTex: Surrounding texture datasetMendeley Data

Data in Brief
Texture analysis can be considered as one of the most important topics in the field of image processing and computer vision. However, the existing texture datasets such as KTH-TIPS, KTH-TIPS2, USPTex, DTD, and ALOT still have limitations which causes the
Muhammad Ardi Putra, Wahyono, Agus Harjoko   +2 more
doaj   +1 more source

Texture Classification with Neural Networks [PDF]

, 2013
Texture classification poses a well known difficulty within computer vision systems. This paper reviews a method for image segmentation based on the classification of textures using artificial neural networks. The supervised machine learning system developed here is able to recognize and distinguish among multiple feature regions within one or more ...
William Raveane, María Angélica González Arrieta   +1 more
openaire   +2 more sources

Classification of Breast Tissue by Texture Analysis [PDF]

Procedings of the British Machine Vision Conference 1991, 1991
The identification of glandular tissue in breast X-rays (mammograms) is important both in assessing asymmetry between left and right breasts, and in estimating the radiation risk associated with mammographic screening. The appearance of glandular tissue in mammograms is highly variable, ranging from sparse streaks to dense blobs.
Peter I. Miller, Susan M. Astley
openaire   +1 more source

Texture feature extraction of coal-rock image based on variogram and local variance image

Gong-kuang zidonghua, 2018
In view of problems of low classification accuracy and algorithmic running efficiency and poor robust property of rotation texture recognition existed in local binary patterns for texture feature extraction of coal-rock, a texture feature extraction ...
HUANG Lei, GUO Chaoya
doaj   +1 more source