Search Results - subject:"Texture analysis"

Did you mean: subject:"textual analysis" (1,553 results)

Texture analysis based feature extraction using Gabor filter and SVD for reliable fault diagnosis of an induction motor

Islam, Rashedul; Uddin, Jia; Kim, Jong-Myon - In: International journal of information technology and … 17 (2018) 1/2, pp. 20-32

Persistent link: https://www.econbiz.de/10011896738

Unsupervised Segmentation of Remote Sensing Images using FD Based Texture Analysis Model and ISODATA

Anouncia, S. Margret; Hemalatha, S. - In: International Journal of Ambient Computing and … 8 (2017) 3, pp. 58-75

Differential (FD) based texture analysis model and Iterative Self-Organizing Data Analysis Technique Algorithm (ISODATA … transformed into texture segmentation by signifying each class label as a unique texture class. The FD based texture analysis … proposed methodology are compared with those of the other texture analysis methods such as LBP (Local Binary Pattern) and NBP …

Persistent link: https://www.econbiz.de/10012042659

A Computational Model for Texture Analysis in Images with Fractional Differential Filter for Texture Detection

Hemalatha, S.; Anouncia, S. Margret - In: International Journal of Ambient Computing and … 7 (2016) 2, pp. 93-113

. As most of the images contain textures, texture analysis becomes the most important for image understanding and it is a …

Persistent link: https://www.econbiz.de/10012042643

Texture descriptor combining fractal dimension and artificial crawlers

Gonçalves, Wesley Nunes; Machado, Bruno Brandoli; … - In: Physica A: Statistical Mechanics and its Applications 395 (2014) C, pp. 358-370

Texture is an important visual attribute used to describe images. There are many methods available for texture analysis …

Persistent link: https://www.econbiz.de/10010871948

A full second order variational model for multiscale texture analysis

Bergounioux, Maïtine; Piffet, Loïc - In: Computational Optimization and Applications 54 (2013) 2, pp. 215-237

We present a second order image decomposition model to perform denoising and texture extraction. We look for the decomposition f=u+v+w where u is a first order term, v a second order term and w the (0 order) remainder term. For highly textured images the model gives a two-scale texture...

Persistent link: https://www.econbiz.de/10010998308

Kernel density estimation on the rotation group and its application to crystallographic texture analysis

Hielscher, Ralf - In: Journal of Multivariate Analysis 119 (2013) C, pp. 119-143

experiments. Finally, we apply our results to answer a long standing question in crystallographic texture analysis on the number …

Persistent link: https://www.econbiz.de/10010678852

CONTRAST ENHANCEMENT USING TEXTURE HISTOGRAM AND FUZZY ENTROPY

GUO, YANHUI; CHENG, H. D.; HUANG, JIANHUA; ZHAO, WEI; … - In: New Mathematics and Natural Computation (NMNC) 03 (2007) 03, pp. 349-365

Image enhancement is used to correct contrast deficiencies and to improve the quality of an image. It is essential and critical to extracting features and segmenting images. This paper presents a novel contrast enhancement algorithm based on newly defined texture histogram and fuzzy entropy with...

Persistent link: https://www.econbiz.de/10005050795

Scaling properties of image textures: A detrending fluctuation analysis approach

Alvarez-Ramirez, Jose; Rodriguez, Eduardo; Cervantes, Ilse - In: Physica A: Statistical Mechanics and its Applications 361 (2006) 2, pp. 677-698

The aim of this paper is to explore the application of detrended fluctuation analysis (DFA) to study roughness features of images. Unidimensional sequences at different image orientations are extracted and their average scaling exponent is estimated. In this form, the existence of anisotropies...

Persistent link: https://www.econbiz.de/10010874023