Results 161 to 170 of about 429,650 (191)

Texture Defect Detection Using Invariant Textural Features

2001
In this paper we propose a novel method for the construction of invariant textural features for grey scale images. The textural features are based on an averaging over the 2D Euclidean transformation group with relational kernels. They are invariant against 2D Euclidean motion and strictly increasing grey scale transformations.
openaire   +2 more sources

Signal Processed Texture Features

2019
Signal processing methods analyze the frequency content of the image. Texture features are then extracted from the transformed (frequency domain) images.
Jyotismita Chaki, Nilanjan Dey
openaire   +1 more source

Texture Feature Extraction From Texture Spectrum

10th Annual International Symposium on Geoscience and Remote Sensing, 2005
null Dong-Chen He, null Li Wang
openaire   +1 more source

Cellular mechanosensing of texture features

Biophysical Journal, 2022
openaire   +2 more sources

Integrative oncology: Addressing the global challenges of cancer prevention and treatment

Ca-A Cancer Journal for Clinicians, 2022
Jun J Mao,, Msce, Lorenzo Cohen, Karen M Mustian   +2 more
exaly  

Texture Image Feature

International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007), 2007
openaire   +1 more source

Texture Feature Extraction

2018
R. Suganya, S. Rajaram, A. Sheik Abdullah   +2 more
openaire   +1 more source

textural feature

2014
openaire   +1 more source

Obesity and adverse breast cancer risk and outcome: Mechanistic insights and strategies for intervention

Ca-A Cancer Journal for Clinicians, 2017
Cynthia Morata-Tarifa, Joyce M Slingerland   +1 more
exaly  

Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma

Ca-A Cancer Journal for Clinicians, 2020
Aaron J Grossberg, William L Hwang, Anirban Maitra   +2 more
exaly