Results 81 to 90 of about 15,845 (235)
Jurnal Ilmiah SINERGI, 2020 This research discusses the detection of embryonic eggs using the k-means clustering method based on statistical feature extraction. The processes that occur in detection are image acquisition, image enhancement, feature extraction, and identification ...
Shoffan Saifullah
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Cogent Engineering, 2022 Skin, being the largest organ of the body, suffers different disorders, and one such is rashes caused because of infections. The rashes appear in different forms, and most often their texture features are different.
Sudhakara Upadya P +3 more
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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
Digit Classification of Majapahit Relic Inscriptionusing 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
One‐Class Autoencoders for Porcelain Art Attribution: The Case of William Billingsley
Archaeometry, EarlyView.ABSTRACT This comprehensive study explores the application of advanced machine learning techniques, specifically one‐class autoencoders, for the authentication and attribution of English porcelain artworks. Focusing primarily on the works of William Billingsley (1758–1828), one of England's most celebrated porcelain decorators, we demonstrate how ...
Hassan Ugail +3 more
wiley +1 more source
Static and Dynamic Algorithms for Terrain Classification in UAV Aerial Imagery
Remote Sensing, 2019 The ability to precisely classify different types of terrain is extremely important for Unmanned Aerial Vehicles (UAVs). There are multiple situations in which terrain classification is fundamental for achieving a UAV’s mission success, such as ...
J. P. Matos-Carvalho +8 more
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Concrete Slump Classification Using GLCM Feature Extraction
Advanced Science, Engineering and Medicine, 2016 Digital image processing technologies have been widely applies in analyzing concrete structure because the accuracy and real time result. The aim of this study is to classify concrete slump by using image processing technique. For this purpose, concrete mix design of 30 MPa compression strength designed with slump of 0-10 mm, 10-30 mm, 30-60 mm, and 60-
Relly Andayani, Syarifudin Madenda
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Advancing collagen‐related pathology assessment through second‐harmonic generation imaging
Journal of Microscopy, EarlyView.Abstract Collagen remodelling and dysregulation are the hallmarks of diverse pathological conditions. In this context, second‐harmonic generation (SHG) imaging has emerged as a powerful label‐free modality for assessing collagen. This offers submicron resolution, intrinsic optical sectioning, and deeper imaging capabilities without the need for ...
Jackson Rodrigues +7 more
wiley +1 more source
Analysis of GLCM Parameters for Textures Classification on UMD Database Images
, 2015 Texture analysis is one of the most important techniques that have been used in image processing for many purposes, including image classification. The texture determines the region of a given gray level image, and reflects its relevant information ...
Lu, Joan, Mohamed, Alsadegh Saleh Saied
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GLCMTextures: GLCM Textures of Raster Layers
Calculates grey level co-occurrence matrix (GLCM) based texture measures (Hall-Beyer (2017) ; Haralick et al. (1973) ) of raster layers using a sliding rectangular window.
Ilich, Alexander
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