Results 181 to 190 of about 22,865 (233)

Wood Species Recognition Using GLCM and Correlation

2009 International Conference on Advances in Recent Technologies in Communication and Computing, 2009
The proposed system identifies the species of the wood using the textural features present in its barks. Each species of a wood has its own unique patterns in its bark, which enabled the proposed system to identify it accurately. Automatic wood recognition system has not yet been well established mainly due to lack of research in this area and the ...
R. Bremananth, B. Nithya, R. Saipriya
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Iris recognition using radon transform and GLCM

2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017
Iris recognition for some time now has been a challenging exercise. This perhaps is due to the use of inappropriate descriptors during the feature extraction stage. In this paper, a Radon Transform is used as an iris signature descriptor. Blood vessels are segmented from iris image. After blood vessel segmentation, the radon transform is applied on the
Kanchan S. Bhagat, Pramod B. Patil, Ratnadeep R. Deshmukh, Dnyaneshwar Kirange, Swapnil Waghmare   +4 more
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Automatic feature extraction and detection of plant leaf disease using GLCM features and convolutional neural networks

Materials Today: Proceedings, 2021
Agricultural productivity plays a key role in determining the economy of a country. Detection of plant leaf disease is a vital task as it greatly affects the agricultural productivity. If proper detection is not done, it may lead to serious damage in the
M. Yogeshwari, G. Thailambal
semanticscholar   +1 more source

Flood damage assessment with Sentinel-1 and Sentinel-2 data after Sardoba dam break with GLCM features and Random Forest method.

Science of the Total Environment, 2021
Accurate mapping and monitoring of flooded areas are immensely required for disaster management purposes, such as for damage assessment and mitigation. In this study, the flood damage mapping performances of two satellite Earth Observation sensors, i.e.,
B. Tavus, S. Kocaman, C. Gokceoglu
semanticscholar   +1 more source

Classification of Chronic Kidney Disease in Sonography Using the GLCM and Artificial Neural Network

Diagnostics, 2021
Chronic kidney disease (CKD) can be treated if it is detected early, but as the disease progresses, recovery becomes impossible. Eventually, renal replacement therapy such as transplantation or dialysis is necessary.
Dong-Hyun Kim, S. Ye
exaly   +2 more sources

Source camera identification using GLCM

2015 IEEE International Advance Computing Conference (IACC), 2015
Digital images are becoming main focus of work for the researchers. Digital image forensics (DIF) is at the forefront of security techniques, aiming to restore the lost trust in digital imagery by uncovering digital counterfeiting techniques. Source camera identification provides different ways to identify the characteristics of the digital devices ...
Nilambari Kulkarni, Vanita Mane
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Landslide Detection Based on GLCM Using SAR Images

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
Detecting the change of texture information is very important for landslide detection. In polarimetric SAR imagery, the landslides not only have typical polarimetric features but also have rich texture features. In this study, the texture feature extraction technique based on gray scale co-occurrence matrix was applied to process two SLC Sentinel-1A C ...
Baihui Li, Yan Chen 0003, Yunping Chen, Youchun Lu, Cunshi Ma   +4 more
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GLCM parameters of channel texture analysis

SEG Technical Program Expanded Abstracts 2011, 2011
Summary Channel texture is an acoustic expression of a fluvial facies derived from 3D seismic data. The Gray Level Cooccurrence Matrix (GLCM) technique has been proven to be a promising method for seismic texture analysis. However, while we try to extract seismic texture attributes, there is uncertainty on how to select the optimal GLCM parameters ...
Zhiguo Wang, Cheng Yin, Wei Zhao
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GLCM-based fingerprint recognition algorithm

2011 4th IEEE International Conference on Broadband Network and Multimedia Technology, 2011
An efficient and reliable fingerprint recognition system is the fundamental need of contemporary living. Beside forensic use, it has been deployed in a large number of commercial applications recently. In this paper, a new method for fingerprint recognition is introduced. The Core point is found initially using Poincare Index method.
Amjad Ali, Xiaojun Jing, Nasir Saleem
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Texture Image Segmentation Based on GLCM

Applied Mechanics and Materials, 2012
The paper proposed a method on marble texture image segmentation based on Gray Level Co-occurrence Matrix (GLCM). At first, compute the Contrast matrix on basis of GLCM. Then choose the maximum of the matrix as the threshold to segment the object. At last extract the object contour with curve fitting method.
Min Li, Jian Jun Liao
openaire   +1 more source