Results 21 to 30 of about 100,090 (313)

Volumetric texture segmentation by discriminant feature selection and multiresolution classification [PDF]

, 2007
In this paper, a multiresolution volumetric texture segmentation (M-VTS) algorithm is presented. The method extracts textural measurements from the Fourier domain of the data via subband filtering using an orientation pyramid (Wilson and Spann, 1988).
Constantino C Reyes Aldasoro (16060949), Reyes Aldasoro, Constantino Carlos, Bhalerao, Abhir, Bhalerao, A., A Bhalerao (16060952), Reyes-Aldasoro, C. C., Constantino Carlos Reyes Aldasoro, Abhir Bhalerao   +7 more
core   +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

Pre-Immunotherapy Contrast-Enhanced CT Texture-Based Classification: A Useful Approach to Non-Small Cell Lung Cancer Immunotherapy Efficacy Prediction

Frontiers in Oncology, 2021
Objective: To investigate the utility of the pre-immunotherapy contrast-enhanced CT-based texture classification in predicting response to non-small cell lung cancer (NSCLC) immunotherapy treatment.Methods: Sixty-three patients with 72 lesions who ...
Leilei Shen, Hongchao Fu, Guangyu Tao, Xuemei Liu, Zheng Yuan, Xiaodan Ye   +5 more
doaj   +1 more source

Texture features for object salience [PDF]

Image and Vision Computing, 2017
Although texture is important for many vision-related tasks, it is not used in most salience models. As a consequence, there are images where all existing salience algorithms fail.
Kasim Terzic, Sai Krishna, J. M. Hans du Buf   +2 more
openaire   +4 more sources

Integration of feature distributions for colour texture segmentation [PDF]

, 2004
This paper proposes a new framework for colour texture segmentation and determines the contribution of colour and texture. The distributions of colour and texture features provides the discrimination between different colour textured regions in an ...
P.F. Whelan, Nammalwar, Padmapriya, Ghita, Ovidiu, O. Ghita, Whelan, Paul F., P. Nammalwar   +5 more
core   +1 more source

Texture Synthesis based on Feature Description

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2012
Patch-based texture synthesis techniques from a small sample texture generate a new texture image efficiently, but one significant problem is that these existing texture synthesis algorithms suffer from structure mismatching across patch boundaries due ...
Yan GUI, Mingang CHEN, Zhifeng XIE, Lizhuang MA, Zhihua CHEN   +4 more
doaj   +1 more source

Texture classification with thousands of features [PDF]

Procedings of the British Machine Vision Conference 2002, 2002
The Trace transform is a generalisation of the Radon transform that allows one to construct image features that do not necessarily have meaning in terms of human perception, but they measure different image characteristics. The ability of producing thousands of features from an image allows one to be selective as to which are appropriate for a ...
Alexander Kadyrov, A. Talepbour, Maria Petrou   +2 more
openaire   +1 more source

Multiscale texture classification and retrieval based on magnitude and phase features of complex wavelet subbands [PDF]

, 2011
This paper proposes a multiscale texture classifier which uses features extracted from both magnitude and phase responses of subbands at different resolutions of the dual-tree complex wavelet transform decomposition of a texture image.
Tjahjadi, Tardi, Turgay Çelik, Tardi Tjahjadi, Çelik, Turgay   +3 more
core   +1 more source

Bayesian texture classification and retrieval based on multiscale feature vector [PDF]

, 2011
This paper proposes a supervised multiscale Bayesian texture classifier. The classifier exploits the dual-tree complex wavelet transform (DT-CWT) to obtain complex-valued multiscale representations of training texture samples for each texture class. The
Tjahjadi, Tardi, Turgay Celik, Tardi Tjahjadi, Çelik, Turgay   +3 more
core   +1 more source

Influence of Structure and Texture Feature on Retrieval of Ramie Leaf Area Index

Agronomy, 2023
Leaf area index (LAI), as one of the important crop field phenotypes, plays a crucial role in evaluating crop growth and yield. The remote sensing method for crop parameters monitoring makes it possible to obtain crop LAI in a large area, efficiently and
Hongyu Fu, Jianning Lu, Jianfu Chen, Wei Wang, Guoxian Cui, Wei She   +5 more
doaj   +1 more source