Results 31 to 40 of about 374,369 (195)
Robust Adaptive Median Binary Pattern for noisy texture classification and retrieval
Texture is an important cue for different computer vision tasks and applications. Local Binary Pattern (LBP) is considered one of the best yet efficient texture descriptors. However, LBP has some notable limitations, mostly the sensitivity to noise.
Alkhatib, Mohammad, Hafiane, Adel
core +1 more source
Multivariate texture discrimination based on geodesics to class centroids on a generalized Gaussian Manifold [PDF]
A texture discrimination scheme is proposed wherein probability distributions are deployed on a probabilistic manifold for modeling the wavelet statistics of images.
A. Laine +6 more
core +2 more sources
Texture feature extraction of coal-rock image based on variogram and local variance image
In view of problems of low classification accuracy and algorithmic running efficiency and poor robust property of rotation texture recognition existed in local binary patterns for texture feature extraction of coal-rock, a texture feature extraction ...
HUANG Lei, GUO Chaoya
doaj +1 more source
Block-based cloud classification with statistical features and distribution of local texture features [PDF]
This work performs cloud classification on all-sky images. To deal with mixed cloud types in one image, we propose performing block division and block-based classification.
H.-Y. Cheng, C.-C. Yu
doaj +1 more source
Where Have the Litigants Gone? [PDF]
The recognition of coral species based on underwater texture images pose a significant difficulty for machine learning algorithms, due to the three following challenges embedded in the nature of this data: 1) datasets do not include information about the
Gómez-Ríos, Anabel +5 more
core +3 more sources
Semantic segmentation of remotely sensed images for building footprint recognition has been extensively researched, and several supervised and unsupervised approaches have been presented and adopted.
Rizwan Ahmed Ansari +2 more
doaj +1 more source
Texture Classification Based on Sound and Vibro-Tactile Data
This paper focuses on the development and validation of an automatic learning system for the classification of tactile data in form of vibro-tactile (accelerometer) and audio (microphone) data for texture recognition.
Mustapha Najib, Ana-Maria Cretu
doaj +1 more source
Mimicking human texture classification [PDF]
In an attempt to mimic human (colorful) texture classification by a clustering algorithm three lines of research have been encountered, in which as test set 180 texture images (both their color and gray-scale equivalent) were drawn from the OuTex and VisTex databases.
Rikxoort, E.M. van +2 more
openaire +5 more sources
An appropriate definition and efficient computation of similarity (or distance) measures between two stochastic models are of theoretical and practical interest.
Chen Ling, Man Hong
doaj +1 more source
Matching Intensity for Image Visibility Graphs: A New Method to Extract Image Features
Recently, the image visibility graphs (IVG) had introduced as simple algorithms by which images map into complex networks. However, current methods based on IVG use global statistical behaviors of the resulting graph to extract image features, which ...
Dongxu Zhu, Sherehe Semba, Huijie Yang
doaj +1 more source

