Results 31 to 40 of about 7,310,486 (303)
Sensors, 2022 Aimed at the problem of fault characteristic information bearing vibration signals being easily submerged in some background noise and harmonic interference, a new algorithm named enhanced differential product weighted morphological filtering (EDPWMF) is
Xiaoan Yan +4 more
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FPGA IMPLEMENTATION OF ROAD NETWORK EXTRACTION USING MORPHOLOGICAL OPERATOR
Image Analysis and Stereology, 2016 In the remote sensing analysis, automatic extraction of road network from satellite or aerial images is the most needed approach for efficient road database creation, refinement, and updating. Mathematical morphology is a tool for extracting the features
Sujatha Chinnathevar, Selvathi Dharmar
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Bio‐Inspired Morphological Evolution of Metastructures with New Operation Modalities
Advanced Intelligent Systems, 2023 Harnessing the power of natural evolution for automated exploration of novel forms of metastructures is likely to be the next technological revolution of the material science. Herein, the principles of evolution into the metamaterial design and discovery
Qianyun Zhang +6 more
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Journal of Applied Informatics and ComputingCracks in traditional West Sumatran pottery are a major challenge in preserving this cultural heritage. With age and the manual manufacturing process, pottery becomes highly susceptible to physical damage, particularly cracks on the surface and internal ...
Raja Ayu Mahessya, Firna Yenila
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Morphological characteristics of venous angiodysplasia of the face and scalp
Клінічна хірургія, 2022 Objective.Studying of morphological characteristics of venous angiodysplasia of the face and scalp. Materials and methods. The operation material (soft tissues of the face and scalp) was investigated in 20 patients for studying of morphological ...
O. A. Hyndych, V. A. Kropelnytskyi
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A Method for Hand Dorsal Vein Recognition Based on Frangi and Morphological Operation
IEEE AccessAiming at the problem of image recognition of the hand dorsal vein, a method for hand dorsal vein recognition based on Frangi and morphological operation (Frangi-M) is proposed. Frangi-M combines the Frangi algorithm and morphological operation. Firstly,
Xiaoling Xie +3 more
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Glioma Brain Tumor Classification Using Convolution Neural Network and Majority Voting
IEEE AccessGlioma brain tumors are malignant diseases for which early detection and instant treatment will increase the survival rate. Several studies have reported the efficiency of deep learning convolutional neural networks (CNN) in diagnosing brain tumors using
Pongsak Pilaoon +2 more
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Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation
IEEE Access, 2019 In this paper, we have developed a new method of accurate detection of retinal blood vessels based on a deep convolutional neural network (CNN) model. This method plays an important role in the observation of many eye diseases.
Toufique Ahmed Soomro +7 more
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Evaluation of color based breast cancer cell images analysis [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2010 This paper describes a simple yet effective algorithm for automatically counting stained breast cancer cell imagesbased on color contents. The procedure for the approach consists of four steps.
Chalit Primkhajeepong +4 more
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BMC Research Notes, 2023 Objective Scar tissue is an identified cause for the development of malignant ventricular arrhythmias in patients of myocardial infarction, which ultimately leads to cardiac death, a fatal outcome. We aim to evaluate the left ventricular endocardial Scar
Yashbir Singh +4 more
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