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Automatic image processing
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Construction safety monitoring is vital in enhancing site safety, such as tracking entering hazardous areas and the correlation between workers and other hazard entities. Therein, computer vision-based image/video processing, one of the emerging technologies, has been actively used to automatically identify and recognize unsafe conditions.
10p
vialicene
02-07-2024
1
0
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In this paper, we propose applying a jointly developed model to the task of multilingual visual question answering. Specifically, we conduct experiments on a multimodal sequence-to-sequence transformer model derived from the T5 encoder-decoder architecture. Text tokens and Vision Transformer (ViT) dense image embeddings are inputs to an encoder then we used a decoder to automatically anticipate discrete text tokens.
11p
dianmotminh02
03-05-2024
6
1
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This paper represents designing results of forest fire monitoring equipment developed by researchers from Vietnam National University of Forestry. The function of equipment is to automatically detect forest fire and to transmit this information to forest owners and managers.
7p
vilarry
01-04-2024
6
1
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Evaluation of treated tumors according to Response Evaluation Criteria in Solid Tumors (RECIST) criteria is an important but time-consuming task in medical imaging. Deep learning methods are expected to automate the evaluation process and improve the efficiency of imaging interpretation.
12p
vileonardodavinci
23-12-2023
5
3
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This paper will focus on developing a mobile robot to replace human in the work of carrying welding defect equipment. This helps to ensure worker safety, increase productivity and save costs.
7p
vibranson
30-11-2023
10
6
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In this work, we propose a technique to automatically detect and segment hands-on first-person images of patients in upper limb rehabilitation exercises. The aim is to automate the assessment of the patient’s recovery process through rehabilitation exercises.
11p
visystrom
22-11-2023
4
4
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This paper developed a model of the automatic defect sorting system to distinguish between qualified and defective products. By using image processing to detect the matching of captured images with the storage based samples, the system ensures products with different colours are correctly delivered to the designated box.
6p
visharma
20-10-2023
6
4
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This study presents our approach on the automatic Vietnamese image captioning for healthcare domain in text processing tasks of Vietnamese Language and Speech Processing (VLSP) Challenge 2021, as shown in Figure 1. In recent years, image captioning often employs a convolutional neural network-based architecture as an encoder and a long short-term memory (LSTM) as a decoder to generate sentences.
8p
viberkshire
09-08-2023
6
3
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The automatic image caption generation is attractive to both Computer Vision and Natural Language Processing research community because it lies in the gap between these two fields. Within the VieCap4H contest organized by VLSP 2021, we participate and present a Transformer-based solution for image captioning in the healthcare domain.
9p
viberkshire
09-08-2023
7
3
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This paper presents VieCap4H, a grand data challenge on automatic image caption generation for the healthcare domain in Vietnamese. VieCap4H is held as part of the eighth annual workshop on Vietnamese Language and Speech Processing (VLSP 2021).
9p
viberkshire
09-08-2023
9
6
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The paper "Image processing-based automatic gradation of stone aggregates" aims to employ image processing methods to develop a simple tool for automatic gradation of stone aggregates. The methods of image thresholding, Gaussian filtering, median filtering, morphological closing, and contour analysis are employed. The output of the newly constructed system is the plots demonstrating particle size distribution. These plots can be used for further inspection of aggregate gradation. The system has been developed in Python and with the help of the OpenCV library.
6p
nhanchienthien
25-07-2023
6
3
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This research work utilizes image processing techniques and sand patch tests to measure pavement macrotexture. Image processing techniques including median filter, Sobel edge detector, and circle fitting are used. The newly developed method is able to compute the pavement macrotexture depth index based on image of sand patch test. This image processing-based method is developed in Visual C#.NET framework 4.7.2. The newly developed program has been tested with real-world image samples.
5p
nhanchienthien
25-07-2023
9
4
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Convolutional Neural Network (CNN) can detect images from cameras installed on self-driving cars. First, we drove a car on a simulator and recorded frames from three cameras: left, right, and center. These frames were recorded at the rate of 30 frames per second. Additional data recorded were the distribution of steering angles, average velocity, etc. were passed through a CNN to train a self-driving system.
7p
vifalcon
18-05-2023
7
5
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This paper proposes a vision-based analysis in calculating excavator productivity using image processing applications and coding language to automatically determine the excavator productivity and bring results on the basis of analysing big data collected from validated construction sites.
14p
viaudi
29-08-2022
3
2
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This paper focuses on exploring Machine learning methods to automate this process. The main challenge we face is in generating adequate training datasets to train the Machine learning model. Creating training data by manually segmenting real images is very labour-intensive, so we have instead tested methods of automatically creating synthetic training datasets which have the same attributes of the original images. The generated synthetic images are used to train a U-net Model, which is then used to segment the original bread dough images.
75p
runordie3
06-07-2022
3
1
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Classification of rocks is one of the basic parts of geological research and is a difficult task due to the heterogeneous properties of rocks. This process is time consuming and requires sufficiently knowledgeable and experienced specialists in the field of petrography. This paper has a novelty in classifying plutonic rock types for the first time using thin section images; and proposes an approach that uses the deep learning method for automatic classification of 12 types of plutonic rocks.
10p
tanmocphong
29-01-2022
10
1
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Automatic Lane Detection is a prerequisite in the development of self-driving cars - a new trend that will surely prevail in the near future. Lane identification has two levels including determining purely by image processing (1) and determining by machine learning (2). Processing with machine learning will produce more accurate results under a variety of environmental conditions than simply processing images.
9p
huyetthienthan
23-11-2021
11
2
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This paper proposes a new image processing model of the cardiac end-systolic and end-diastolic phase considered using image processing methods and for the segmentation of time series of medical images. This type of model is a unique design, since few attempt have been made to analyze the systolic heart interactions and diastolic relaxation using image processing methods.
6p
phanngocminhtam
14-09-2021
16
1
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Periodic structural health survey is an important task to ensure the safety and serviceability of buildings. This study aims at developing a computer vision tool to segment images capturing surface of reinforced concrete structures. The image processing technique of Gabor filter is used with k-Means clustering algorithm and principal component analysis to automatically segment damages on concrete surface including spall, crack, bughole, and stain.
6p
nguaconbaynhay12
01-06-2021
13
1
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It is very important to accurately delineate the CTV on the patient’s three-dimensional CT image in the radiotherapy process. Limited to the scarcity of clinical samples and the difficulty of automatic delineation, the research of automatic delineation of cervical cancer CTV based on CT images for new patients is slow.
10p
vichaeng2711
29-04-2021
6
1
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