Results 51 to 60 of about 75,969 (161)

Projected Texture for Object Classification [PDF]

, 2008
Algorithms for classification of 3D objects either recover the depth information lost during imaging using multiple images, structured lighting, image cues, etc. or work directly the images for classification. While the latter class of algorithms are more efficient and robust in comparison, they are less accurate due to the lack of depth information ...
Avinash Sharma 0001, Anoop M. Namboodiri
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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

On soil textural classifications and soil texture-based estimations [PDF]

Solid Earth, 2017
Abstract. The soil texture representation with the standard textural fraction triplet 'sand-silt-clay' is commonly used to estimate soil properties. The objective of this work was to test the hypothesis that other fraction sizes in the triplets may provide better representation of soil texture for estimating some soil parameters.
Martin Martin, Miguel Angel, Pachepsky, Yakov, García-Gutiérrez Baez, Carlos, Reyes Castro, Miguel E.   +3 more
openaire   +4 more sources

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

A Texture Classification Approach Based on the Integrated Optimization for Parameters and Features of Gabor Filter via Hybrid Ant Lion Optimizer

Applied Sciences, 2019
Texture classification is an important topic for many applications in machine vision and image analysis, and Gabor filter is considered one of the most efficient tools for analyzing texture features at multiple orientations and scales.
Mingwei Wang, Lang Gao, Xiaohui Huang, Ying Jiang, Xianjun Gao   +4 more
doaj   +1 more source

A Fast Image Stitching Algorithm Based on Texture Classification and Improved SIFT

IEEE Access
A fast and improved scale-invariant feature transform (SIFT) image stitching algorithm is proposed based on texture classification to solve the problem of huge computational complexity.
Zetian Tang, Zemin Zhang, Junjie Feng, Wei Chen, Kun Zhu, Wentao Yang, Wenjuan Han   +6 more
doaj   +1 more source

Feature Selection Methods in Image-Based Screening for the Detection of Hashimoto’s Thyroiditis in First-Contact Hospitals

Barometr Regionalny, 2016
In this paper, results of dimension reduction in feature space for thyroid ultrasound images using the heuristic identification of noisy variables, testing the significance of correlation coefficients and the method of Hellwig index of information ...
Zbigniew Omiotek, Andrzej Burda
doaj   +1 more source

Jumping and Refined Local Pattern for Texture Classification

IEEE Access, 2018
The local binary pattern (LBP) model is a simple and effective method of texture classification, but it is sensitive to rotational and noisy images. Although many variants of LBP are proposed by scholars, there are still several urgent problems, such as ...
Tianyu Wang, Yongsheng Dong, Chunlei Yang, Lin Wang, Lingfei Liang, Lintao Zheng, Jiexin Pu   +6 more
doaj   +1 more source

EFFECTIVE MULTI-RESOLUTION TRANSFORM IDENTIFICATION FOR CHARACTERIZATION AND CLASSIFICATION OF TEXTURE GROUPS [PDF]

ICTACT Journal on Image and Video Processing, 2011
Texture classification is important in applications of computer image analysis for characterization or classification of images based on local spatial variations of intensity or color.
S. Arivazhagan, L. Ganesan, C.N. Savithri   +2 more
doaj  

Texture image analysis and texture classification methods - A review

CoRR, 2019
Tactile texture refers to the tangible feel of a surface and visual texture refers to see the shape or contents of the image. In the image processing, the texture can be defined as a function of spatial variation of the brightness intensity of the pixels. Texture is the main term used to define objects or concepts of a given image.
Laleh Armi, Shervan Fekri Ershad
openaire   +2 more sources