Globally, lung cancer is a prevalent reason for death for individuals. The most common form of lung cancer has a high death rate. If lung cancer is identify and care for in its early on stages, screening can assist id...
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In India, the number of surveillance cameras has increased rapidly, making it challenging for law enforcement to go through the vast amount of recorded footage. We suggest a technique for quickly reviewing large amoun...
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The rapid growth of e-commerce and the increasing demand for online clothing shopping have elevated the importance of accurate clothing quality assessment. In response to this demand, we present a novel mobile applica...
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Recently,the development and application of lane line departure warning systems have been in the *** any of the systems,the key part of lane line tracking,lane line identification,or lane line departure warning is whe...
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Recently,the development and application of lane line departure warning systems have been in the *** any of the systems,the key part of lane line tracking,lane line identification,or lane line departure warning is whether it can accurately and quickly detect lane *** 1990 s,they have been studied and implemented for the situations defined by the good viewing conditions and the clear lane markings on *** then,the accuracy for particular situations,the robustness for a wide range of scenarios,time efficiency and integration into higher-order tasks define visual lane line detection and tracking as a continuing research *** present,these kinds of lane marking line detection methods based on machine vision and imageprocessing can be divided into two categories:the traditional imageprocessing and semantic segmentation(includes deep learning)*** former mainly involves feature-based and model-based steps,and which can be classified into similarity-and discontinuity-based ones;and the model-based step includes different parametric straight line,curve or pattern *** semantic segmentation includes different machine learning,neural network and deep learning methods,which is the new trend for the research and application of lane line departure warning *** paper describes and analyzes the lane line departure warning systems,imageprocessingalgorithms and semantic segmentation methods for lane line detection.
The present study screened out 16 papers from SSCI-indexed and SCI-indexed journals for a literature review on the topic of adaptive algorithms applied in various adaptive learning systems. It is found that most of th...
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ISBN:
(纸本)9781728136608
The present study screened out 16 papers from SSCI-indexed and SCI-indexed journals for a literature review on the topic of adaptive algorithms applied in various adaptive learning systems. It is found that most of the reviewed articles directly adopted some long-standing algorithms, although a few of them employed game engines or developed their own algorithms for the construction of the adaptive learning systems. The literature review also shows that the majority of the studies have testified the effectiveness of the adopted algorithms, although many of them cannot achieve the ideal dynamic adaptivity.
The development of biomedical image technology has brought significant advancements to healthcare and frontier research. Over the past 20 years, BioCAS has witnessed and documented comprehensive achievements in biomed...
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ISBN:
(纸本)9798350354966;9798350354959
The development of biomedical image technology has brought significant advancements to healthcare and frontier research. Over the past 20 years, BioCAS has witnessed and documented comprehensive achievements in biomedical image sensor design and processingalgorithms. This paper provides a systematic review of the work related to biomedical image acquisition and processing technology in BioCAS and offers a perspective on future developments in this field.
We derive colour spaces of the hue-colourfulness-luminance type, on the basis of a four-dimensional hypercube. We derive a chromatic 2D hue that goes together with chromatic saturation and luminance, a toroidal hue th...
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ISBN:
(纸本)9780819494283
We derive colour spaces of the hue-colourfulness-luminance type, on the basis of a four-dimensional hypercube. We derive a chromatic 2D hue that goes together with chromatic saturation and luminance, a toroidal hue that goes together with a toroidal saturation and colourfulness, and also, a 3D tint that goes together with colourfulness.
The most critical part of a neutron computed tomography(NCT) system is the imageprocessing algorithm,which directly affects the quality and speed of the reconstructed *** types of noise in the system can degrade the ...
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The most critical part of a neutron computed tomography(NCT) system is the imageprocessing algorithm,which directly affects the quality and speed of the reconstructed *** types of noise in the system can degrade the quality of the reconstructed ***,to improve the quality of the reconstructed images of NCT systems,efficient imageprocessingalgorithms must be *** anisotropic diffusion filtering(ADF) algorithm can not only effectively suppress the noise in the projection data,but also preserve the image edge structure information by reducing the diffusion at the image ***,we propose the application of the ADF algorithm for NCT image *** compare the performance of different algorithms in NCT systems,we reconstructed images using the ordered subset simultaneous algebraic reconstruction technique(OS-SART) algorithm with different regular terms as imageprocessing *** the iterative reconstruction,we selected two imageprocessingalgorithms,the Total Variation and split Bregman solved total variation algorithms,for comparison with the performance of the ADF ***,the filtered back-projection algorithm was used for comparison with an iterative *** reconstructing the projection data of the numerical and clock models,we compared and analyzed the effects of each algorithm applied in the NCT *** on the reconstruction results,OS-SART-ADF outperformed the other algorithms in terms of denoising,preserving the edge structure,and suppressing *** example,when the 3D Shepp–Logan was reconstructed at 25 views,the root mean square error of OS-SART-ADF was the smallest among the four iterative algorithms,at only *** universal quality index,mean structural similarity,and correlation coefficient of the reconstructed image were the largest among all algorithms,with values of 0.9877,0.9878,and 0.9887,respectively.
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