Results 31 to 40 of about 371,752 (272)
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
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
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
A Self-Organizing System for Classifying Complex Images: Natural Textures and Synthetic Aperture Radar [PDF]
A self-organizing architecture is developed for image region classification. The system consists of a preprocessor that utilizes multi-scale filtering, competition, cooperation, and diffusion to compute a vector of image boundary and surface properties ...
Grossberg, Stephen, Williamson, James
core +2 more sources
Multi texture analysis of colorectal cancer continuum using multispectral imagery [PDF]
Purpose This paper proposes to characterize the continuum of colorectal cancer (CRC) using multiple texture features extracted from multispectral optical microscopy images.
Bouridane, Ahmed +5 more
core +4 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
Deep Region Adaptive Denoising for Texture Enhancement
Image denoising is a highly challenging problem yet important task in image processing. Recently, many CNN-based denoising methods have made great performances but they commonly denoise blindly texture and non-texture regions together.
Seong-Eui Lee +4 more
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
Ant Lion Optimizer for Texture Classification: A Moving Convolutional Mask
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
This paper addresses the problem of data vectors modeling, classification and recognition using infinite mixture models, which have been shown to be an effective alternative to finite mixtures in terms of selecting the optimal number of clusters. In this
Sami Bourouis +4 more
doaj +1 more source

