Results 221 to 230 of about 36,113 (246)

Texture description using multi-scale morphological GLCM

Multimedia Tools and Applications, 2018
Texture is the collective repetitive pattern that characterizes the surface of real world objects. The main challenge in the texture description is its application specific definition. The present work aims at bringing the definition of textures under a generalized framework and propose some texture descriptors.
Mudassir Rafi, Susanta Mukhopadhyay
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Texture classification using Shearlet transform and GLCM

2017 Iranian Conference on Electrical Engineering (ICEE), 2017
Texture is one of the most important and effective element in image recognition and image processing. There are a lot of procedures in texture classification, recent researches are based on different transforms such as Ripplet transform. In this paper textured images are classified using Shearlet transform.
Khatere Meshkini, Hassan Ghassemian
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Texture Based Image Retrieval Using GLCM and LBP

2021
In the technical period, things will enrich it every day, one of which is content-based image retrieval. The comparative study of texture-dependent algorithms based on a spatial domain with feature extraction and distance metrics was explored in this paper.
Bably Dolly, Deepa Raj
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A Novel framework of Adaptive fuzzy-GLCM Segmentation and Fuzzy with Capsules Network (F-CapsNet) Classification

Neural computing & applications (Print), 2023
Rizwan Ali, A. Manikandan, Jinghong Xu
semanticscholar   +1 more source

MRI image classification using GLCM texture features

2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE), 2014
The uncovering Brain Tumour is a challenging problem due to the structure of the Tumour cells. The proposed work presents a sorting method for classifying Magnetic Resonance images to detect the Brain Tumour in its early stages and to analyze anatomical structures. The probabilistic neural network with radial basis function (PNN-RBF) will be engaged to
G. Preethi, V. Sornagopal
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GLCM and Fuzzy Clustering for Ocean Features Classification

2010 International Conference on Machine Vision and Human-machine Interface, 2010
since Seasat lunched in 1978, much understanding has been gained on the potential of synthetic aperture radar (SAR) technology in oceanography. In this paper, the ocean features, i.e., internal waves, ocean fronts, present in SAR images are discussed.
Ronghua Tao, Jie Chen, Biao Chen, Cuihua Liu   +3 more
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Gingivitis Identification via GLCM and Artificial Neural Network

2020
Gingivitis is a common oral disease. The diagnosis process of gingivitis disease is usually based on the experience of the dentist and previous medical records. In order to diagnose gingivitis more efficiently and accurately, we proposed a gingivitis recognition program based on Gray-Level Co-Occurrence Matrix (GLCM), Artificial Neural Network (ANN ...
Yihao Chen, Xianqing Chen
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Biometric recognition of conjunctival vasculature using GLCM features

2011 International Conference on Image Information Processing, 2011
Besides the iris, conjunctival vasculature may also be used for ocular biometric recognition. Conjunctival vessel patterns can be easily observed in the visible spectrum and can compensate for off-angle or otherwise occluded iridial texture. In this paper, classification of conjunctival vasculature using Gray Level Co-occurrence Matrix (GLCM) is ...
Sriram Pavan Tankasala, Plamen Doynov, Reza R. Derakhshani, Arun Ross, Simona Crihalmeanu   +4 more
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Wire rope defect identification based on ISCM-LBP and GLCM features

The Visual Computer, 2023
Qunpo Liu, Yang Song, Qi Tang, Xuhui Bu, N. Hanajima   +4 more
semanticscholar   +1 more source

การเปรียบเทียบการจำแนกเชิงวัตถุข้อมูลดาวเทียม SPOT 5 จากการวิเคราะห์ค่าการสะท้อนแสงและลายเนื้อชนิด GLCM

การจำแนกข้อมูลดาวเทียมด้วยเทคนิคการจำแนกเชิงวัตถุ (Object-based classification) ช่วยจำแนกวัตถุบนภาพถ่ายจากค่าการสะท้อนแสง (Spectral analysis) ให้มีความถูกต้องดียิ่งขึ้น แต่การจำแนกพืชที่ปลูกในบริเวณใกล้เคียงกันและมีค่าการสะท้อนแสงใกล้เคียงกันยังคงทำให้การจำแนกข้อมูลมีการปะปนกัน การใช้อัลกอริธึมลายเนื้อ (Texture algorithm) ชนิด Gray Level Co-occurrence ...
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