Results 71 to 80 of about 429,650 (191)
Journal of Pathology Informatics, 2013 Background: Segmentation of areas containing tumor cells in standard H&E histopathology images of breast (and several other tissues) is a key task for computer-assisted assessment and grading of histopathology slides.
Adnan M Khan +3 more
doaj +1 more source
Texture Image Classification Using Visual Perceptual Texture Features and Gabor Wavelet Features
Journal of Computers, 2009 Texture can describe a wide variety of surface characteristics and a key component for human visual perception and plays an important role in image-related applications. This paper proposes a scheme for texture image classification using visual perceptual texture features and Gabor wavelet features.
Muwei Jian, Haoyan Guo, Lei Liu
openaire +1 more source
Unsupervised Texture Segmentation: Comparison of Texture Features
Mehran University Research Journal of Engineering and Technology, 2010 Texture is an important image-content that has been utilized for different machine intelligent tasks, like those in machine vision and remote sensing, which identify objects of interest by segmenting the image texture. This paper aims at comparing texture features based on Discrete Fourier Transform (DFT) with ones based on Gabor wavelets for ...
AHSAN AHMAD URSANI +2 more
openaire +1 more source
Gray-level invariant Haralick texture features
PLOS ONE, 2019 Haralick texture features are common texture descriptors in image analysis. To compute the Haralick features, the image gray-levels are reduced, a process called quantization. The resulting features depend heavily on the quantization step, so Haralick features are not reproducible unless the same quantization is performed.
Tommy Löfstedt +4 more
openaire +5 more sources
Texture classification using invariant features of local textures
IET Image Processing, 2010 In this paper, the authors present a texture descriptor algorithm called invariant features of local textures (IFLT). IFLT generates scale, rotation and (essentially) illumination invariant descriptors from a small neighbourhood of pixels around a centre pixel or a texture patch. Texture classification experiments were carried out on the Brodatz, Outex
P. Janney, G. Geers
openaire +1 more source
Classification of Maize Growth Stages Based on Phenotypic Traits and UAV Remote Sensing
AgricultureMaize, an important cereal crop and crucial industrial material, is widely used in various fields, including food, feed, and industry. Maize is also a highly adaptable crop, capable of thriving under various climatic and soil conditions.
Yihan Yao +7 more
doaj +1 more source
Combining spectral and texture feature of UAV image with plant height to improve LAI estimation of winter wheat at jointing stage. [PDF]
Front Plant Sci, 2023 Zou M +7 more
europepmc +1 more source
Texture feature analysis of MRI-ADC images to differentiate glioma grades using machine learning techniques. [PDF]
Sci Rep, 2023 Vijithananda SM +8 more
europepmc +1 more source
An Inhomogeneous Bayesian Texture Model for Spatially Varying Parameter Estimation
, 2014 In statistical model based texture feature extraction, features based on spatially varying parameters achievehigher discriminative performances compared to spatially constant parameters. In this paper we formulate anovel Bayesian framework which achieves
Bennett, Michael +3 more
core
Feature characterization for profile surface texture
Surface Topography: Metrology and PropertiesAbstract Conventional field parameters for surface measurement use all data points, while feature characterization focuses on subsets extracted by watershed segmentation. This approach enables the extraction of specific features that are potentially responsible for the function of the surface or are a direct reflection of the ...
A Müller, M Eifler, A Jawaid, J Seewig
openaire +2 more sources