Results 21 to 30 of about 8,610,250 (238)
Discrimination of Plant Species Using Co Occurrence Matrix of Leaves [PDF]
, 2002 Rosana G. Moreira, Editor-in-Chief; Texas A&M UniversityThis is a Technical Paper from International Commission of Agricultural Engineering (CIGR, Commission Internationale du Genie Rural) E-Journal Volume 4 (2002): R. Tsheko.
Tsheko, R.
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Feature Extraction of Images Texture Based on Co-occurrence Matrix
Zanco Journal of Pure and Applied Sciences, 2019 There are many techniques to extracted object properties in an image. In this research a co-occurrence matrix has been to adopted for feature extraction of English letters.
Hadia S. Abd allah +2 more
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Ibn Al-Haitham Journal for Pure and Applied Sciences, 2023 In this research, a group of gray texture images of the Brodatz database was studied by building the features database of the images using the gray level co-occurrence matrix (GLCM), where the distance between the pixels was one unit and for four angles (
Haider S. Kaduhm +1 more
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IEEE AccessChronic tinnitus is a subjective condition where individuals experience persistent noise or ringing without external stimuli, impacting daily life, sleep, and mental health.
Yingying Wang +8 more
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Tracking objects with co‐occurrence matrix and particle filter in infrared video sequences
IET Computer Vision, 2018 Tracking objects in infrared video sequences became a very important challenge for many current tracking algorithms due to several complex situations such as illumination variation, night vision, and occlusion. This study proposes a new tracker that uses
Issam Elafi +2 more
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Word Embedding With Zipf’s Context
IEEE Access, 2019 Word embeddings generated by neural language models have achieved great success in many NLP tasks. However, neural language models may be difficult to train and time consuming.
Lizheng Gao +3 more
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ANALISIS TEKSTUR PADA CITRA IRIS MATA MENGGUNAKAN ALGORITMA GRAY LEVEL CO-OCCURENCY MATRIX
Pilar Nusa Mandiri, 2019 According to data from the ministry of health, with the high intensity of use the gadget nowadays, therefore the number of people with eye disease is increasing.
Asti Herliana, Toni Arifin
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Weed recognition by SVM texture feature classification in outdoor vegetable crops images
Ingeniería e Investigación, 2017 This paper presents a classification system for weeds and vegetables from outdoor crop images. The classifier is based on support vector machine (SVM) with its extension to nonlinear case using radial basis function (RBF) and optimizing its scale ...
Camilo Pulido Rojas +2 more
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Metastatic niche shaped by host factors influences disseminated cancer cell fate
FEBS Letters, EarlyView.Metastasis is shaped not only by cancer cells but also by the environments they encounter. This review explores how factors such as aging, diet, the microbiome, lifestyle, and environmental exposures remodel organ‐specific niches in the lung, liver, bone, and brain, influencing where metastatic cells survive, remain dormant, or grow, and ultimately ...
Gwennan Delyth Ward +2 more
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Mine flood perception based on gray level co-occurrence matrix and regression analysis
Gong-kuang zidonghua, 2020 Aiming at problems of low recognition rate and poor stability and timeliness when image recognition was used in mine flood perception, a mine flood perception method based on gray level co-occurrence matrix and regression analysis was proposed.
CAO Yuchao
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