Results 71 to 80 of about 26,874 (197)
Classification of ordered texture images using regression modelling and granulometric features [PDF]
, 2011 Structural information available from the granulometry of an image has been used widely in image texture analysis and classification. In this paper we present a method for classifying texture images which follow an intrinsic ordering of textures, using ...
Gray, Alison +2 more
core +1 more source
Moose indifferent to canopy loss from forest disturbance by bark beetles
The Journal of Wildlife Management, EarlyView.Moose showed strikingly similar patterns of habitat selection before and after widespread forest disturbance following an infestation of bark beetles. Our findings indicate that beetle‐kill does not appreciably alter habitat quality for moose and highlight the importance of riparian areas in sustaining moose as they contend with changing forests ...
Alexander B. May +5 more
wiley +1 more source
The Implementation of GLCM and ANN Methods to Identify Dragon Fruit Maturity Level
Ilkom Jurnal Ilmiah, 2023 The identification of the maturity level of dragon fruit in this study was divided into two groups of ripeness: the unripe and the ripe. This study aims to classify the maturity level based on dragon fruit images using the feature extraction method, the ...
Muhammad Faisal +2 more
doaj +1 more source
Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping
Remote Sensing in Ecology and Conservation, EarlyView.Seafloor imagery is commonly used to collect information about the distribution of benthic organisms in order to generate habitat and biodiversity maps. Recent advances in genomics (e.g., environmental DNA; eDNA) show potential to complement video surveys for habitat mapping, but there have been few examples testing this.
Rylan J. Command +8 more
wiley +1 more source
Indonesian Journal of Applied PhysicsThe classification of CT-Scan images on images with lung cancer and normal lung has been done by improving the image quality of the median and Gabor filters, extraction of first and second-order statistical features, and decision tree classification. The
Mohtar Yunianto +2 more
doaj +1 more source
Review on enhancing clinical decision support system using machine learning
CAAI Transactions on Intelligence Technology, EarlyView.Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
Jurnal Ilmiah Informatika dan KomputerKain adalah salah satu dari ribuan hasil karya manusia di penjuru dunia. Kain sendiri terbuat dari tenunan benang yang berasal dari bahan kapas, sutra, dan sintesis lainnya.
Anis Yusrotun Nadhiroh
doaj +1 more source
Digit Classification of Majapahit Relic Inscription using GLCM-SVM
Knowledge Engineering and Data Science, 2018 A higher level of image processing usually contains some kind of classification or recognition. Digit classification is an important subfield in handwritten recognition. Handwritten digits are characterized by large variations so template matching, in general, is inefficient and low in accuracy. In this paper, we propose the classification of the digit
Tri Septianto +2 more
openaire +3 more sources
Applied AI Letters, Volume 7, Issue 2, June 2026.A hybrid deep learning framework integrating VGG16, ResNet50, and DenseNet121 is proposed for automated tuberculosis detection from chest X‐ray images. Feature‐level fusion enhances robustness and generalization, achieving 97.4% accuracy across multiple public datasets, supporting reliable clinical decision‐making in resource‐limited healthcare ...
Md. Tahmid Hossain +2 more
wiley +1 more source
SD LMS L-Filters for Filtration of Gray Level Images in Timespatial Domain Based on GLCM Features
Advances in Electrical and Electronic Engineering, 2008 In this paper, the new kind of adaptive signal-dependent LMS L-filter for suppression of a mixed noise in greyscale images is developed. It is based on the texture parameter measurement as modification of spatial impulse detector structure. Moreover, the
Robert Hudec +2 more
doaj