Results 61 to 70 of about 374,369 (195)

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

Texture Classification Using Sparse Frame-Based Representations

EURASIP Journal on Advances in Signal Processing, 2006
A new method for supervised texture classification, denoted by frame texture classification method (FTCM), is proposed. The method is based on a deterministic texture model in which a small image block, taken from a texture region, is modeled as a ...
Skretting Karl, Husøy JohnHåkon   +1 more
doaj   +1 more source

Modeling of evolving textures using granulometries [PDF]

, 2006
This chapter describes a statistical approach to classification of dynamic texture images, called parallel evolution functions (PEFs). Traditional classification methods predict texture class membership using comparisons with a finite set of predefined ...
Gray, Alison, Marshall, Stephen, McKenzie, Jennifer   +2 more
core  

Texture Classification with Ants [PDF]

2006 International Conference on Image Processing, 2006
In this paper, we present a novel texture classification algorithm inspired by the self-assembling behavior of real ants when building live structures with their bodies. The proposed algorithm employs dyadic Gabor filter banks for extracting discriminant features from images containing multiple textures not known to the algorithm.
Arshad Hussain, Nasir Rajpoot, Kashif Rajpoot   +2 more
openaire   +1 more source

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
openaire   +1 more source

Ant Lion Optimizer for Texture Classification: A Moving Convolutional Mask

IEEE Access, 2019
Texture classification is an important issue for a number of applications in machine vision, which could be addressed through learning texture features by using a convolutional mask.
Mingwei Wang, Lizhe Wang, Zhiwei Ye, Juan Yang   +3 more
doaj   +1 more source

Sparse Radial Sampling LBP for Writer Identification

, 2015
In this paper we present the use of Sparse Radial Sampling Local Binary Patterns, a variant of Local Binary Patterns (LBP) for text-as-texture classification.
Bagdanov, Andrew D., Karatzas, Dimosthenis, Liwicki, Marcus, Nicolaou, Anguelos   +3 more
core   +1 more source

A Hybrid Deep Learning Approach for Texture Analysis

, 2017
Texture classification is a problem that has various applications such as remote sensing and forest species recognition. Solutions tend to be custom fit to the dataset used but fails to generalize.
Adly, Hussein, Moustafa, Mohamed
core   +1 more source

Application of Linear Discriminant Analysis Method With Gray Level Cooccurrence Matrix Method for Classification of Lung Disease Diagnosis Based on X-Ray Results

Journal of Applied Informatics and Computing
This study aims to classify lung diseases from X-ray images using a combination of Gray Level Cooccurrence Matrix (GLCM) and Linear Discriminant Analysis (LDA) methods.
Nuriana Nuriana, Zahratul Fitri, Ar Razi
doaj   +1 more source

Texture Based Pattern Classification

International Journal of Computer Applications, 2010
Texture can be observed in many natural and synthetic images from multispectral satellite images to the microscopic images of cell or tissue samples. Texture is an innate property of virtually all surfaces, the grain of wood, the weave of fabric, the pattern of crop in fields etc It contains important information about the structural arrangement of ...
R.J. Bhiwani, S.M. Agrawal, M.A. Khan
openaire   +1 more source