Multi texture analysis of colorectal cancer continuum using multispectral imagery [PDF]
, 2016 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
Bleeding Detection in Gastrointestinal Images using Texture Classification and Local Binary Pattern Technique: A Review [PDF]
E3S Web of Conferences, 2020 Texture analysis has proven to be a breakthrough in many applications of computer image analysis. It has been used for classification or segmentation of images which requires an effective description of image texture. Due to high discriminative power and
Goyal Aparna, Gunjan Reena
doaj +1 more source
A Self-Organizing System for Classifying Complex Images: Natural Textures and Synthetic Aperture Radar [PDF]
, 1996 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
Classification of Hydrological Relevant Parameters by Soil Hydraulic Behaviour
Geosciences, 2019 Soil water simulations on hydrological meso- or macroscale require parameters that describe the physical characteristics of the soil. At these scales, information regarding soil properties is mostly only available on very coarse spatial resolutions with ...
Phillip Kreye +3 more
doaj +1 more source
, 2018 Designing discriminative powerful texture features robust to realistic imaging conditions is a challenging computer vision problem with many applications, including material recognition and analysis of satellite or aerial imagery.
Anwer, Rao Muhammad +4 more
core +1 more source
Texture Classification Based on Complex Network Model with Spatial Information [PDF]
, 2018 This paper proposes a method for image texture classification based on a complex network model. Finding relevant and valuable information in an image texture is an essential issue for image classification and remains a challenge.
Horio Keiichi, Thewsuwan Srisupang
core +2 more sources
Multi-Threshold Corner Detection and Region Matching Algorithm Based on Texture Classification
IEEE Access, 2019 In order to address the unreasonable distributed corners in single threshold Harris detection and expensive computation cost incurred from image region matching performed by normalized cross correlation (NCC) algorithm, multi-threshold corner detection ...
Zetian Tang +6 more
doaj +1 more source
Classification of interstitial lung disease patterns with topological texture features
, 2010 Topological texture features were compared in their ability to classify morphological patterns known as 'honeycombing' that are considered indicative for the presence of fibrotic interstitial lung diseases in high-resolution computed tomography (HRCT ...
Huber, Markus B. +4 more
core +1 more source
Video Classification With CNNs: Using The Codec As A Spatio-Temporal Activity Sensor [PDF]
, 2017 We investigate video classification via a two-stream convolutional neural network (CNN) design that directly ingests information extracted from compressed video bitstreams.
Abbas, Alhabib +2 more
core +2 more sources
Texture Classification Through Combination of Sequential Colour Texture Classifiers [PDF]
, 2007 The sequential approach to colour texture classification relies on colour histogram clustering before extracting texture features from indexed images. The basic idea of such methods is to replace the colour triplet (RGB, HSV, Lab, etc.) associated to a pixel, by a scalar value, which represents an index of a colour palette.
BIANCONI, Francesco +3 more
openaire +2 more sources