Search Results - (( image evaluations _ algorithm ) OR ( parameter optimization method algorithm ))
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1
A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption
Published 2023“…Then, this study aims to optimize the hyperparameters of the developed DNN model using the Arithmetic Optimization Algorithm (AOA) and, lastly, to evaluate the performance of the newly proposed deep learning model with Simulated Kalman Filter (SKF) algorithm in solving image encryption application. …”
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Thesis -
2
Optimized image enhancement of colour processing for retinal fundus image
Published 2025“…The proposed algorithm underwent both qualitative and quantitative evaluations. …”
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3
Optimized image enhancement of colour processing for retinal fundus image
Published 2025“…The proposed algorithm underwent both qualitative and quantitative evaluations. …”
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4
Improvement on rooftop classification of worldview-3 imagery using object-based image analysis
Published 2019“…Then, the classifier (support vector machine (SVM) and data mining (DM) algorithm, decision tree (DT) were applied on each fusion image and their accuracy were evaluated. …”
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5
A pothole boundary detection algorithm using image segmentation technique in urban road
Published 2025“…Additionally, the algorithm’s performance is meticulously evaluated against a diverse set of image datasets sourced from the internet, aiming to validate its robustness and reliability. …”
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6
Interferometric array planning using division algorithm for radio astronomy applications
Published 2017“…Finally, the algorithm is able to reduce SLL to -25.23 dB. The third method develops a new algorithm named Division Algorithm (DA) to solve the optimization problems. …”
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7
Photogrammetric low-cost unmanned aerial vehicle for pothole detection mapping / Shahrul Nizan Abd Mukti
Published 2022“…This study extracted pothole area and volume information from fusion of Digital Elevation Model (DEM) and classified MS image. The study set four main objectives to achieve its aim: (1) To analyse RGB and multispectral sensor calibration, (2) To evaluate the optimal flight parameters for pothole modelling production using RGB imagery, (3) To investigate various classifier algorithms and band combinations for pothole region areas using multispectral imagery and (4) To validate geometric information from the extracted pothole. …”
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8
Color image enhancement of acute leukemia cells in blood microscopic image for leukemia detection sample
Published 2020“…This report introduces a new enhancement method which is a combination of Particle swarm optimization (PSO) algorithm and contrast stretching, known as Hybrid PSO-Contrast stretching (HPSO-CS). …”
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Conference or Workshop Item -
9
Optimal model order selection for Transient Error Autoregressive Moving Average (TERA) MRI reconstruction method
Published 2008“…These criteria were evaluated on MRI data sets based on the method of Transient Error Reconstruction Algorithm (TERA). …”
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Proceeding Paper -
10
Automatic Segmentation and Classification of Skin Lesions in Dermoscopic Images
Published 2024“…In this research, we evaluate proposed algorithms on two datasets, International Skin Imaging Collaboration (ISIC) and PH2 (Dermatology Service of Hospital Pedro Hispano, Matosinhos, Portugal). …”
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11
Impacts of Butterworth post-filtering on absolute quantification of 99mTc SPECT/CT using nema phantom
Published 2024“…Conclusion: This study demonstrates the importance of carefully optimizing the Butterworth filter parameters in SPECT/CT imaging to achieve the best balance between image quality and quantitative accuracy. …”
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Monograph -
12
Optimal model order selection for transient error autoregressive moving average (TERA) MRI reconstruction method
Published 2008“…These criteria were evaluated on MRI data sets based on the method of Transient Error Reconstruction Algorithm (TERA). …”
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13
Image Splicing Detection With Constrained Convolutional Neural Network
Published 2019“…Image splicing is a common method in image forgery and is often being misused for bad motives such as false idea propaganda. …”
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14
Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…In order to develop the proposed methods, the baseline techniques are studied to develop the proposed algorithms. …”
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Book Chapter -
15
Impact of low-dose protocols on computed tomography of lung cancer screening on the intrinsic performance metrics: a phantom study
Published 2023“…Conclusions: To sum up, research is being conducted to determine how CT image quality is affected by low dose CT acquisition parameters and IR algorithm. …”
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16
Optimized techniques for landslide detection and characteristics using LiDAR data
Published 2018“…In this task, two neural network algorithms, Recurrent Neural Networks (RNN) and Multi-Layer Perceptron Neural Networks (MLP-NN) were used and the hyper-parameters of the network architecture was optimized based on a systematic grid search. …”
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17
Model-based hybrid variational level set method applied to object detection in grey scale images
Published 2024“…This algorithm leverages an improved multi-scale mean filter to mitigate grayscale inhomogeneity while reducing the impact of scale parameter selection. …”
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18
Durian (Durio zibethinus) ripeness detection using thermal imaging with multivariate analysis
Published 2021“…Thermal imaging was investigated in this study in order to evaluate the ripeness of durian based on the relationship of physicochemical properties and thermal image parameters. …”
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Defect detection of GFRP composites through long pulse thermography using an uncooled microbolometer infrared camera
Published 2024“…The Tanimoto Criterion (TC) was used to evaluate the accuracy of LPT both for raw images and post-processed images. …”
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Evaluation method of rationality of urban landscape facility design based on neural network
Published 2025“…Urban landscape facilities not only enhance the quality of life for residents and promote social interaction but also add bright elements to the display of urban culture and image. Therefore, this study formulates a scientific and reasonable evaluation index system for the rationality of urban landscape facility design and uses a neural network to carry out intelligent evaluation, in order to obtain optimal evaluation outcomes. …”
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