Image Processing
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The process of neural stem cell (NSC) differentiation into neurons is crucial for the development of potential cell-centered treatments for central nervous system disorders. However, predicting, identifying, and anticipating this differentiation is complex. In this study, we propose the implementation of a convolutional neural network model for the predictable recognition of NSC fate, utilizing single-cell brightfield images.
7p 
viengfa
28-10-2024
2
2
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In this paper, we build a quadcopter for target tracking by integrating a embedded computer Raspberry Pi (RPI) with a Pixhawk flight controller. This article also proposes a lightweight Tracking algorithm that can be deployed on Raspberry Pi, this algorithm harnesses advanced image processing and computing capabilities to significantly enhance target tracking performance, thereby reducing the need for human intervention control in unmanned flights.
9p viengfa
28-10-2024
4
3
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Early detection of infertile and non-hatchable eggs benefits hatcheries by saving space, reducing costs, and preventing contamination from spoiled eggs. An automated system has been developed to detect and mark non-hatchable eggs efficiently. The system includes a conveyor that moves trays of 100 eggs through a high-power LED light assembly.
5p viengfa
28-10-2024
4
2
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The paper sheds light on the adaptation of a literary work reaching the pinnacle of Vietnamese medieval written literature in the context of the regional and Vietnam's particular traditional culture through decoding the creative process of Nguyen Du's The Tale of Kieu - a symbol of Vietnamese national culture. The paper shows how a literary work has become a national literary peak and the image of The Tale of Kieu becomes a symbol of national consciousness, the spirit of cultural nationalization.
8p viengfa
28-10-2024
5
1
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In industrial field, various automation techniques have been studied and applied to increase productivity, better accuracy and eliminate the human errors. This paper developed a model of the automatic defect sorting system to distinguish between qualified and defective products.
6p viengfa
28-10-2024
4
2
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Face swapping is an exciting visual effect with many potential applications in entertainment and privacy protection. This paper presents an efficient approach for real-time face swapping and facial landmark detection using only computer vision techniques.
10p viyamanaka
06-02-2025
1
1
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This study focuses on understanding the factors that inuence Vietnamese consumers' intention to buy secondhand clothes, especially understanding the mediating role of circular fashion awareness. Use quantitative research methods. With the sample size of 823. Data processed by SPSS 22 and AMOSS 22 software.
7p tuetuebinhan000
23-01-2025
5
2
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Machine learning and computer vision play pivotal roles in detecting product defects across various industries, enhancing effectiveness, precision, and minimizing labor expenditures. This journalutilizes image manipulation through the OpenCV, coupled with machine learning employing the ResNet-50 model, to specifically identify surface defects and dimensions in bearings.
5p vibenya
31-12-2024
8
1
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This paper examines the architectural formation of the Le Loi “Western” street in Hue city by collecting secondary data through articles, magazines, images, books, maps, etc. and by conducting field surveys (mainly observation and taking photos).
7p vibenya
31-12-2024
5
2
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Recent MLP-Mixer has a good ability to handle longrange dependencies, however, to have a good performance, one requires huge data and expensive infrastructures for the pre-training process. In this study, we proposed a novel model for nuclei image segmentation namely Axial Convolutional-MLP Mixer, by replacing the token mixer of MLP-Mixer with a new operator, Axial Convolutional Token Mix.
6p vibenya
31-12-2024
3
2
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Why do FA? To understand the root cause of device failure Allow intelligent corrective actions to be applied Determine where in a process issues exist that affecting product Check for counterfeit materials - My boss/customer said I have too Case Study packaged IC second level Opens
32p vinhtk7ce
06-07-2012
83
4
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Digital Image Processing: Image Enhancement - Duong Anh Duc presents about Image Enhancement; Point Operations; Image Negative; Contrast Stretching; Compression of Dynamic Range; Image Averaging for noise reduction; Some Averaging Filters; Some Typical Histograms.
78p cocacola_08
21-11-2015
69
4
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Digital Image Processing: Image Enhancement Frequency domain methods - Duong Anh Duc provides about Image Enhancement - frequency domain methods; 1-d Fourier transform of a sequence; 2-d Fourier transform of a digital image; Fourier Transform of “Rice” Image; Importance of Phase Information in Images;...
86p cocacola_08
21-11-2015
67
4
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Digital Image Processing: Image Restoration - Duong Anh Duc includes Image Restoration; Restoration vs. Enhancement; Degradation Model; Gaussian noise; Erlang(Gama) noise; Exponential noise; Impulse (salt-and-pepper) noise; Plot of density function of different noise models.
81p cocacola_08
21-11-2015
67
4
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Digital Image Processing: Image Restoration Matrix Formulation - Duong Anh Duc provides about matrix Formulation of Image Restoration Problem; constrained least squares filtering (restoration); a brief review of matrix differentiation; Pseudo-inverse Filtering; Minimum Mean Square Error (Wiener) Filter; Parametric Wiener Filter.
66p cocacola_08
21-11-2015
51
4
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Digital Image Processing: Image Enhancement Spatial Filtering - Duong Anh Duc includes Image Enhancement - Spatial Filtering; How to specify T; Smoothing Filters; Image smoothing by averaging (lowpass spatial filtering); Image Sharpening; High-boost filtering; Prewitt operators.
40p cocacola_08
21-11-2015
62
3
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Digital Image Processing: Unitary Transforms - Duong Anh Duc present about Unitary Transforms; Energy conservation with unitary transforms; Karhunen-Loeve transform; Optimum energy concentration by KL transform; Basis images and eigenimages; Sirovich and Kirby method; Gender recognition using eigenfaces.
29p cocacola_08
21-11-2015
65
3
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Dithering, also called Halftoning or Color Reduction, is the process of rendering an image on a display device with fewer colors than are in the image. Digital Image Processing: Some Special Techniques Dithering presents about it.
56p cocacola_08
21-11-2015
43
3
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Digital Image Processing: Human Visual System - Duong Anh Duc presents about Human Visual System; Cross-section of the Human Eye; Light and EM Spectrum; Image Sensing and Acquisition; Mathematical Representation of Images; Effect of spatial resolution; Application Areas.
21p cocacola_08
21-11-2015
54
2
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