Results 61 to 70 of about 75,969 (161)

A multimodal tactile dataset for dynamic texture classification. [PDF]

open access: yesData Brief, 2023
Monteiro Rocha Lima B   +3 more
europepmc   +1 more source

GRANULOMETRIC MAPS FROM HIGH RESOLUTION SATELLITE IMAGES

open access: yesImage Analysis and Stereology, 2011
A new method of land cover mapping from satellite images using granulometric analysis is presented here. Discontinuous landscapes such as steppian bushes of semi arid regions and recently growing urban settlements are especially concerned by this study ...
Catherine Mering, Franck Chopin
doaj   +1 more source

Fusing DTCWT and LBP Based Features for Rotation, Illumination and Scale Invariant Texture Classification

open access: yesIEEE Access, 2018
Classification of texture images with different orientation, illumination, and scale changes is a challenging problem in computer vision and pattern recognition. This paper proposes two descriptors and uses them jointly to fulfill such task.
Peng Yang, Fanlong Zhang, Guowei Yang
doaj   +1 more source

A Stereovision Matching Strategy for Images Captured with Fish-Eye Lenses in Forest Environments

open access: yesSensors, 2011
We present a novel strategy for computing disparity maps from hemispherical stereo images obtained with fish-eye lenses in forest environments. At a first segmentation stage, the method identifies textures of interest to be either matched or discarded ...
Jesús M. Cruz   +4 more
doaj   +1 more source

Unsupervised Texture Classification And Segmentation

open access: yes, 2007
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of independent non-Gaussian densities. The algorithm estimates the data density in each class by using parametric nonlinear functions that fit to the non-Gaussian structure of ...
V. P. Subramanyam Rallabandi, S. K. Sett
openaire   +1 more source

Ant Lion Optimizer for Texture Classification: A Moving Convolutional Mask

open access: yesIEEE 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   +3 more
doaj   +1 more source

Tongue Image Texture Classification Based on Image Inpainting and Convolutional Neural Network. [PDF]

open access: yesComput Math Methods Med, 2022
Yan J   +6 more
europepmc   +1 more source

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