At present, the application of industrial robots combined with visual systems to achieve dynamic grasping materials of the belt is becoming increasingly widespread. Unlike the behavior of industrial robots grabbing af...
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At present, the application of industrial robots combined with visual systems to achieve dynamic grasping materials of the belt is becoming increasingly widespread. Unlike the behavior of industrial robots grabbing after the belt stops, industrial robots dynamically tracking and grabbing materials on the belt can greatly improve production efficiency. For vision, processing distorted material images during high-speed movement and to obtain accurate coordinate points of materials is a key task to improve the accuracy of the belt tracking applications with industrial robot. Developing imageprocessingalgorithms based on MATLAB can, on the one hand, utilize existing software and hardware interface functions to improve development efficiency;On the other hand, autonomous and controllable imageprocessingalgorithms can be developed based on application requirements to maximize system accuracy.
Crack is an important factor to consider when assessing the quality of concrete structures since it impacts the structure's longevity, application, and safety. Convolutional neural networks are increasingly the be...
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ISBN:
(纸本)9798350350470;9798350350487
Crack is an important factor to consider when assessing the quality of concrete structures since it impacts the structure's longevity, application, and safety. Convolutional neural networks are increasingly the best option to replace manual crack detection because of the advancement of methods for deep learning. Machine learning algorithms known as artificial neural networks (ANNs) imitate how the human brain functions. These Neural Networks can be implemented in software. However, these neural networks require large computations. Hardware implementation of these neural networks has higher processing speeds than their software implementations. CNN is a particular kind of artificial neural network that is used to interpret pixel data and is utilised in image detection and processing. Computer vision applications including object identification, image segmentation, and image classification work well with convolutional neural networks. employed for categorization The proposed method uses a configurable convolution neural network system for crack detection. An accuracy of 97.5% is achieved over 200 images. By detecting the crack effectively using the method, the quality of the concrete structures will be ensured using dedicated hardware shortly.
Recently, providing real-time navigation of unmanned aerial vehicles independent of global positioning systems has become of great importance. The state-of-the-art methods based on deep learning, which give good resul...
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ISBN:
(纸本)9798350388978;9798350388961
Recently, providing real-time navigation of unmanned aerial vehicles independent of global positioning systems has become of great importance. The state-of-the-art methods based on deep learning, which give good results in certain datasets, and the existing methods can not provide real-time and good solutions on images with dynamic and fast moving. Moreover, the methods, were developed so far, were focused on object-based tracking algorithms. In this paper, the tracking of the points belonging to the target pattern, found by image matching, was performed with the machine learning model we developed for 10 sequential video images. The features extracted for the machine learning model are: (i) the change between the points of the previous image and the image before that, (ii) the points of interest in the previous image, (iii) the changes found with the homography matrix between sequential images. It was experimentally shown that, point tracking can be achieved with the least error, on avarage about 23 pixels for a 2 mega-pixel resolution image, among the algorithms in the literature that can process more than 30 images per second in a CPU environment of 2 GHz or above.
imageprocessing refers to information processing techniques used with computers integrated into images in various industrial and technological fields. These techniques can be used in various applications involving th...
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作者：
Dabrowski, AdamPoznań University of Technology
Faculty of Control Robotics and Electrical Engineering Institute of Automatic Control and Robotics Division of Signal Processing and Electronic Systems Jana Pawla II 24 Poznań60-965 Poland
In this tutorial some basic linear algebra problems: basis change and projection, are discussed together with examples of their applications in signal and imageprocessing. In typical linear algebra university courses...
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Accurately identifying field weeds is crucial for selecting appropriate agricultural machinery and herbicides. This paper focuses on nine common weed species during the seedling stage in natural backgrounds of field v...
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Railway plays a leading role in the field of transportation in China and shoulders the important mission of driving the development of national economy. In view of the changeable environment of railway track, the proc...
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ISBN:
(纸本)9798350350227;9798350350210
Railway plays a leading role in the field of transportation in China and shoulders the important mission of driving the development of national economy. In view of the changeable environment of railway track, the processing algorithm with good real-time performance, strong robustness and high accuracy in the process of foreign body detection is the key to achieve rapid detection. In order to facilitate researchers to compare and analyze the effects of relevant algorithms intuitively and quickly, the GUI visual interactive interface was used to design the simulation platform for track foreign object imageprocessing, conceive the design process, build the overall design of the platform, and divide the static foreign object detection and moving target detection modules according to the realization functions. In the static foreign body detection module, the image of track foreign body is input to determine whether there is track foreign body and give early warning. Meanwhile, the processing effect of different algorithms can be visually compared through the operation results. In the moving target detection module, the moving target in the input video is marked and tracked. The test results of the simulation platform show that the processing platform is simple and easy to operate, and can effectively assist researchers to deepen the understanding and application of orbital foreign object imageprocessing.
In the imageprocessing domain, the growth of digital data has intensified the need for efficient and robust optimization techniques. This research study aims to develop and evaluate advanced optimization methods tail...
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Recent transformers-based systems are advancing image captioning applications. However, those works have been mainly applied to English-based image captioning problems. In this paper, we introduce a transformers-based...
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ISBN:
(纸本)9798350343557
Recent transformers-based systems are advancing image captioning applications. However, those works have been mainly applied to English-based image captioning problems. In this paper, we introduce a transformers-based Turkish-based image captioning algorithm. Our proposed algorithm uses appearance and geometry features from the input image and combines them along with the WordPiece embeddings to generate the Turkish-based caption. Our experimental results show improvement when compared to the other existing techniques including the original ORT and the show-and-tell algorithms.
This paper presents an innovative approach to automatic volume control using imageprocessing and deep learning techniques. The ability to automatically adjust volume levels based on environmental factors and user pre...
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