Results 41 to 50 of about 1,193 (111)

Research of Thenar Palmprint Classification Based on Gray Level Co-occurrence Matrix and SVM

Journal of Computers, 2011
An optimal thenar palmprint classification model is proposed in this paper. Firstly, the thenar palmprint image is enhanced using a high-frequency emphasis filter and histogram equalization. Then, from the enhanced image thirteen textural features of gray level co-occurrence matrix (GLCM) are extracted as classification feature vectors.
Zhu Xi Jun, Dazhuan Liu, Qiulin Zhang, Zhaoshan Zhou, Wenhua Liang   +4 more
openaire   +1 more source

An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering

Sensors, 2023
Brain tumors in Magnetic resonance image segmentation is challenging research. With the advent of a new era and research into machine learning, tumor detection and segmentation generated significant interest in the research world.
Surjeet Dalal, Umesh Kumar Lilhore, Poongodi Manoharan, Uma Rani, Fadl Dahan, Fahima Hajjej, Ismail Keshta, Ashish Sharma, Sarita Simaiya, Kaamran Raahemifar   +9 more
doaj   +1 more source

Bounds for Haralick features in synthetic images with sinusoidal gradients

Frontiers in Signal Processing, 2023
Introduction: The gray-level co-occurrence matrix (GLCM) reduces the dimension of an image to a square matrix determined by the number of gray-level intensities present in that image.
Ana Oprisan, Sorinel Adrian Oprisan
doaj   +1 more source

Novel Approach to Color Texture Retrieval Based on GLCM

Communications, 2013
The color and texture are very important features in image analysis. In this paper, the combination of these features is presented. Several approaches for color texture features extraction are researched. The improvement of the one-dimensional version of
Miroslav Benco, Robert Hudec, Martina Zachariasova, Patrik Kamencay, Slavomir Matuska   +4 more
doaj   +1 more source

Iris Recognition using Gray Level Co-occurrence Matrix and Hausdorff Dimension

International Journal of Computer Applications, 2016
Biometrics authentication is the only accurate solution for personal identification and security problems. Password incorrect use and misapplication, intentional and inadvertent is a gaping hole in security. These results are mainly occurs due to Poor human judgment, carelessness and due to tactlessness.
Pravin S., Dilip S., Amol M.
openaire   +1 more source

Batik Classification using Microstructure Co-occurrence Histogram

JOIV: International Journal on Informatics Visualization
Batik Nitik is a distinctive form of batik originating from the culturally rich region of Yogyakarta, Indonesia. What sets it apart from other batik styles is its remarkable motif similarity, a characteristic that often poses a considerable challenge ...
Agus Eko Minarno, Indah Soesanti, Hanung Adi Nugroho   +2 more
doaj   +1 more source

Machine Learning-Based Gray-Level Co-Occurrence Matrix (GLCM) Models for Predicting the Depth of Myometrial Invasion in Patients with Stage I Endometrial Cancer

Cancer Management and Research, 2022
Li Qin,1 Lin Lai,2 Hongli Wang,3 Yukun Zhang,2 Xiaoyuan Qian4 *, Du He2 𪇞partment of Obstetrics and Gynecology, the Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, Hubei, 445000, People’s Republic of China; 2Department
Qin L, Lai L, Wang H, Zhang Y, Qian X, He D   +5 more
doaj  

Improving electrical resistivity tomography interpretation with Gray Level Co-Occurrence Matrix textural attributes

Scientific Reports
Electrical resistivity tomography (ERT) provides valuable subsurface structural information but often relies on inverted resistivity thresholds for interpretation. Inversion inherently produces smooth boundaries that can lead to interpretation ambiguity,
John McKnight, Heather Bedle, Sina Saneiyan   +2 more
doaj   +1 more source

Ekstrak Ciri Komunikasi Nonverbal Menggunakan Gray Level Co-Occurrence Matrix

I N F O R M A T I K A, 2020
Komunikasi mengandung dua dimensi verbal dan non verbal. Perilaku komunikasi non verbal dievaluasi menggunakan perhitungan ekstrak ciri Gray Level Co-Occurrence Matrix (GLCM). Video pelamar diekstrak untuk mengambil gestur mata, gestur mulut dan gestur kepala.
openaire   +2 more sources

Differentiation of invasive ductal and lobular carcinoma of the breast using MRI radiomic features: a pilot study [version 2; peer review: 2 approved]

F1000Research
Background Breast cancer (BC) is one of the main causes of cancer-related mortality among women. For clinical management to help patients survive longer and spend less time on treatment, early and precise cancer identification and differentiation of ...
Karthikeya D Hebbar, Saikiran Pendem, Shailesh Nayak, Sudeepta Maiti   +3 more
doaj   +1 more source