Proposed Algorithm For Using GLCM Properties To Distinguishing Geometric Shapes [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2019 In this research, an algorithm was used to look at the characteristics of a set of images for geometric shapes and then to classify them into totals based on four characteristics obtained from the co-occurrence matrix (energy, contrast, correlation and ...
Kifaa Thanoon
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Co-word Analysis using the Chinese Character Set
, 2008 Until recently, Chinese texts could not be studied using co-word analysis because the words are not separated by spaces in Chinese (and Japanese). A word can be composed of one or more characters. The online availability of programs that separate Chinese
Ahlgren +18 more
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Klasifikasi dan Ekstraksi Ciri Pada Jenis Kulit Wajah Dengan Metode Naïve Bayes dan Metode Gray Level Co-Occurrence Matrix (GLCM) [PDF]
, 2023 Kulit merupakan salah satu bagian tubuh terluar pada manusia yang memiliki fungsi melindungi organ – organ vital di dalam tubuh manusia. Kulit wajah adalah salah satu jenis kulit yang berfungsi untuk melindungi organ pada wajah, seperti melindungi mata ...
Poetri, Nadhira Pramoedya
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Identification of Anthracnose Disease in Mango Plant Using Clustering and Gray level Co- occurrence Matrix [PDF]
ITM Web of Conferences, 2020 The aim of this paper is to help farmers to identify disease without observing each and every mango plant by eyes. Farmers can use the pesticides according to the leaf disease identified.
Gawand Mamata +4 more
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Adaptive Thresholding Based On Co-Occurrence Matrix Edge Information
Journal of Computers, 2007 In this paper, an adaptive thresholding technique based on gray level co-occurrence matrix (GLCM) is presented to handle images with fuzzy boundaries. As GLCM contains information on the distribution of gray level transition frequency and edge information, it is very useful for the computation of threshold value.
M.M. Mokji, S.A.R. Abu Bakar
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Identify a Specified Fish species by the Co-occurrence and Confusion Matrix [PDF]
, 2015 Nowadays, invasive species threaten native species has become a global problem. Invasive species might be carrying pathogenic microorganisms, reduce biological species and even threat to human health.
Hu Xuelong +3 more
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Matrix Factorization Equals Efficient Co-occurrence Representation
, 2018 Matrix factorization is a simple and effective solution to the recommendation problem. It has been extensively employed in the industry and has attracted much attention from the academia. However, it is unclear what the low-dimensional matrices represent.
Khawar, Farhan, Zhang, Nevin L.
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A Study for Texture Feature Extraction of High-Resolution Satellite Images Based on a Direction Measure and Gray Level Co-Occurrence Matrix Fusion Algorithm. [PDF]
Sensors (Basel), 2017 Zhang X, Cui J, Wang W, Lin C.
europepmc +2 more sources
, 2017 Co-occurrence Filter (CoF) is a boundary preserving filter. It is based on the Bilateral Filter (BF) but instead of using a Gaussian on the range values to preserve edges it relies on a co-occurrence matrix.
Avidan, Shai, Jevnisek, Roy J
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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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