Results 11 to 20 of about 22,865 (233)
PeerJ Computer Science, 2021 Crop classification in early phenological stages has been a difficult task due to spectrum similarity of different crops. For this purpose, low altitude platforms such as drones have great potential to provide high resolution optical imagery where ...
Naveed Iqbal +3 more
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Frontiers in Plant Science, 2023 Aboveground biomass (AGB) is a crucial physiological parameter for monitoring crop growth, assessing nutrient status, and predicting yield. Texture features (TFs) derived from remote sensing images have been proven to be crucial for estimating crops AGB,
Jikai Liu +9 more
semanticscholar +1 more source
A Study of Dimensionality Reduction in GLCM Feature-Based Classification of Machined Surface Images
The Arabian journal for science and engineering, 2023 The surfaces produced by the machining process are sensitive to the type of machining process and the conditions under which it is performed. Thus, surface texture identification is crucial in quality assurance, as it acts as a feedback to the machining ...
G. Prasad. +4 more
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WSEAS Transactions on Signal Processing, 2022 In computer vision, image feature extraction methods are used to extract features so that the features are learnt for classification tasks. In biomedical images, the choice of a particular feature extractor from a diverse range of feature extractors is ...
A. Aggarwal
semanticscholar +1 more source
CIGS İnce Film Yüzeyindeki Morfolojik Farklılıkların GLCM Görüntü İşleme Yöntemi ile İncelenmesi
Süleyman Demirel Üniversitesi Fen-Edebiyat Fakültesi Fen Dergisi, 2022 Çalışmada Mo folyolar ve cam üzerine DC saçtırma yöntemiyle kaplanmış Mo ince filmler üzerine aynı anda termal buharlaştırma metoduyla CIGS yarıiletken malzemesi biriktirilmiştir.
Salih Akyürekli +3 more
doaj +1 more source
An efficient deep learning model for brain tumour detection with privacy preservation
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Internet of medical things (IoMT) is becoming more prevalent in healthcare applications as a result of current AI advancements, helping to improve our quality of life and ensure a sustainable health system. IoMT systems with cutting‐edge scientific capabilities are capable of detecting, transmitting, learning and reasoning.
Mujeeb Ur Rehman +8 more
wiley +1 more source
Coal Rock Image Feature Extraction and Recognition Method Based on LBP and GLCM
Meikuang Anquan, 2020 Aiming at the unmanned requirements of coal mining face, a method for extracting and identifying coal rock image features based on LBP and GLCM is proposed. The LBP algorithm is used to judge the difference of the rock texture of the coal block.
WANG Chao, ZHANG Qiang
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Fabric Defect Detection based on GLCM [PDF]
Proceedings of the 2015 6th International Conference on Manufacturing Science and Engineering, 2015 In general, an image of woven fabric sample can be regarded as a typical textured image. The detection of local fabric defects is one of the most captivating problems in computer vision and has received much attention over the years. In the textile industry, careful inspections for woven fabrics have to be carried out because fabric defects may reduce ...
Xiujuan Fan, Xiaowei Zhang
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Applied Sciences, 2023 Due to the physical strain experienced during intense workouts, athletes are at a heightened risk of developing osteopenia and osteoporosis. These conditions not only impact their overall health but also their athletic performance.
Zhangtianyi Chen +3 more
semanticscholar +1 more source
DETECTION OF SEPTORIA SPOT ON BLUEBERRY LEAF IMAGES USING SVM CLASSIFIER [PDF]
ICTACT Journal on Image and Video Processing, 2019 Identification and classification of the plant leaf is efficient way to preventing loss occurred in agricultural field. The Septoria leaf spot is mainly affect the leaves which caused by a fungus, flu, bacteria.
M Latha, S Jaya
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