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This work presents two image-based inspection approaches for the quality evaluation of cylinder bore surfaces. In the first algorithm, metal folds on plateau-honed surfaces are inspected with scanning electron microscopy. An edge-aware structure tensor is proposed for feature extraction and localization of surface defects. The second algorithm uses a morphgraphical method for detecting graphite grains in optical micrographs. Based on the inspection results, quality parameters are proposed.
Book Synopsis Image Analysis and Evaluation of Cylinder Bore Surfaces in Micrographs by : Wang, Limeng
Download or read book Image Analysis and Evaluation of Cylinder Bore Surfaces in Micrographs written by Wang, Limeng and published by KIT Scientific Publishing. This book was released on 2014-08-27 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work presents two image-based inspection approaches for the quality evaluation of cylinder bore surfaces. In the first algorithm, metal folds on plateau-honed surfaces are inspected with scanning electron microscopy. An edge-aware structure tensor is proposed for feature extraction and localization of surface defects. The second algorithm uses a morphgraphical method for detecting graphite grains in optical micrographs. Based on the inspection results, quality parameters are proposed.
This work presents two image-based inspection approaches for the quality evaluation of cylinder bore surfaces. In the first algorithm, metal folds on plateau-honed surfaces are inspected with scanning electron microscopy. An edge-aware structure tensor is proposed for feature extraction and localization of surface defects. The second algorithm uses a morphgraphical method for detecting graphite grains in optical micrographs. Based on the inspection results, quality parameters are proposed. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Book Synopsis Image Analysis and Evaluation of Cylinder Bore Surfaces in Micrographs by : Limeng Wang
Download or read book Image Analysis and Evaluation of Cylinder Bore Surfaces in Micrographs written by Limeng Wang and published by . This book was released on 2020-10-09 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work presents two image-based inspection approaches for the quality evaluation of cylinder bore surfaces. In the first algorithm, metal folds on plateau-honed surfaces are inspected with scanning electron microscopy. An edge-aware structure tensor is proposed for feature extraction and localization of surface defects. The second algorithm uses a morphgraphical method for detecting graphite grains in optical micrographs. Based on the inspection results, quality parameters are proposed. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Book Synopsis Design and analysis of a content-based image retrieval system by : Hernández Mesa, Pilar
Download or read book Design and analysis of a content-based image retrieval system written by Hernández Mesa, Pilar and published by KIT Scientific Publishing. This book was released on 2017-10-18 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Optical measurement methods are becoming increasingly important for high-precision production of components and quality assurance. The increasing demand can be met by modern imaging systems with advanced optics, such as light field cameras. This work explores their use in the deflectometric measurement of specular surfaces. It presents improvements in phase unwrapping and calibration techniques, enabling high surface reconstruction accuracies using only a single monocular light field camera.
Book Synopsis Light Field Imaging for Deflectometry by : Uhlig, David
Download or read book Light Field Imaging for Deflectometry written by Uhlig, David and published by KIT Scientific Publishing. This book was released on 2023-07-14 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optical measurement methods are becoming increasingly important for high-precision production of components and quality assurance. The increasing demand can be met by modern imaging systems with advanced optics, such as light field cameras. This work explores their use in the deflectometric measurement of specular surfaces. It presents improvements in phase unwrapping and calibration techniques, enabling high surface reconstruction accuracies using only a single monocular light field camera.
While the spectral information contained in hyperspectral images is rich, the spatial resolution of such images is in many cases very low. Many pixel spectra are mixtures of pure materials' spectra and therefore need to be decomposed into their constituents. This work investigates new decomposition methods taking into account spectral, spatial and global 3D adjacency information. This allows for faster and more accurate decomposition results.
Book Synopsis Hyperspectral Image Unmixing Incorporating Adjacency Information by : Bauer, Sebastian
Download or read book Hyperspectral Image Unmixing Incorporating Adjacency Information written by Bauer, Sebastian and published by KIT Scientific Publishing. This book was released on 2018-07-18 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the spectral information contained in hyperspectral images is rich, the spatial resolution of such images is in many cases very low. Many pixel spectra are mixtures of pure materials' spectra and therefore need to be decomposed into their constituents. This work investigates new decomposition methods taking into account spectral, spatial and global 3D adjacency information. This allows for faster and more accurate decomposition results.
Deep learning is widely applied to sparse 3D data to perform challenging tasks, e.g., 3D object detection and semantic segmentation. However, the high performance of deep learning comes with high costs, including computational costs and the effort to capture and label data. This work investigates and improves the efficiency of deep learning for sparse 3D data to overcome the obstacles to the further development of this technology.
Book Synopsis Computational, label, and data efficiency in deep learning for sparse 3D data by : Li, Lanxiao
Download or read book Computational, label, and data efficiency in deep learning for sparse 3D data written by Li, Lanxiao and published by KIT Scientific Publishing. This book was released on 2024-05-13 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is widely applied to sparse 3D data to perform challenging tasks, e.g., 3D object detection and semantic segmentation. However, the high performance of deep learning comes with high costs, including computational costs and the effort to capture and label data. This work investigates and improves the efficiency of deep learning for sparse 3D data to overcome the obstacles to the further development of this technology.
This work presents model-based algorithmic approaches for interference-invariant time delay estimation, which are specifically suited for the estimation of small time delay differences with a necessary resolution well below the sampling time. Therefore, the methods can be applied particularly well for transit-time ultrasonic flow measurements, since the problem of interfering signals is especially prominent in this application.
Book Synopsis Model-based Filtering of Interfering Signals in Ultrasonic Time Delay Estimations by : Bächle, Matthias
Download or read book Model-based Filtering of Interfering Signals in Ultrasonic Time Delay Estimations written by Bächle, Matthias and published by KIT Scientific Publishing. This book was released on 2023-01-09 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work presents model-based algorithmic approaches for interference-invariant time delay estimation, which are specifically suited for the estimation of small time delay differences with a necessary resolution well below the sampling time. Therefore, the methods can be applied particularly well for transit-time ultrasonic flow measurements, since the problem of interfering signals is especially prominent in this application.
In this work, the task of wide-area indoor people detection in a network of depth sensors is examined. In particular, we investigate how the redundant and complementary multi-view information, including the temporal context, can be jointly leveraged to improve the detection performance. We recast the problem of multi-view people detection in overlapping depth images as an inverse problem and present a generative probabilistic framework to jointly exploit the temporal multi-view image evidence.
Book Synopsis Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images by : Wetzel, Johannes
Download or read book Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images written by Wetzel, Johannes and published by KIT Scientific Publishing. This book was released on 2022-07-12 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this work, the task of wide-area indoor people detection in a network of depth sensors is examined. In particular, we investigate how the redundant and complementary multi-view information, including the temporal context, can be jointly leveraged to improve the detection performance. We recast the problem of multi-view people detection in overlapping depth images as an inverse problem and present a generative probabilistic framework to jointly exploit the temporal multi-view image evidence.
The increasing use of automated laser welding processes causes high demands on process monitoring. This work demonstrates methods that use a camera mounted on the focussing optics to perform pre-, in-, and post-process monitoring of welding processes. The implementation uses machine learning methods. All algorithms consider the integration into industrial processes. These challenges include a small database, limited industrial manufacturing inference hardware, and user acceptance.
Book Synopsis Machine Learning for Camera-Based Monitoring of Laser Welding Processes by : Hartung, Julia
Download or read book Machine Learning for Camera-Based Monitoring of Laser Welding Processes written by Hartung, Julia and published by KIT Scientific Publishing. This book was released on 2024-03-08 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing use of automated laser welding processes causes high demands on process monitoring. This work demonstrates methods that use a camera mounted on the focussing optics to perform pre-, in-, and post-process monitoring of welding processes. The implementation uses machine learning methods. All algorithms consider the integration into industrial processes. These challenges include a small database, limited industrial manufacturing inference hardware, and user acceptance.
Book Synopsis Wireless Data Transmission for the Battery Management System of Electric and Hybrid Vehicles by : Alonso, Damián Ezequiel
Download or read book Wireless Data Transmission for the Battery Management System of Electric and Hybrid Vehicles written by Alonso, Damián Ezequiel and published by KIT Scientific Publishing. This book was released on 2017-09-15 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:
