Image Analysis and Evaluation of Cylinder Bore Surfaces in Micrographs
Image Analysis and Evaluation of Cylinder Bore Surfaces in Micrographs

Author: Wang, Limeng

Publisher: KIT Scientific Publishing

Published: 2014-08-27

Total Pages: 134

ISBN-13: 3731502399

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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.

Image Analysis and Evaluation of Cylinder Bore Surfaces in Micrographs
Image Analysis and Evaluation of Cylinder Bore Surfaces in Micrographs

Author: Limeng Wang

Publisher:

Published: 2020-10-09

Total Pages: 126

ISBN-13: 9781013283246

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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. 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.

Design and analysis of a content-based image retrieval system
Design and analysis of a content-based image retrieval system

Author: Hernández Mesa, Pilar

Publisher: KIT Scientific Publishing

Published: 2017-10-18

Total Pages: 268

ISBN-13: 3731506920

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The automatic retrieval of images according to the similarity of their content is a challenging task with many application fields. In this book the automatic retrieval of images according to human spontaneous perception without further effort or knowledge is considered. A system is therefore designed and analyzed. Methods for the detection and extraction of regions and for the extraction and comparison of color, shape, and texture features are also investigated.

Light Field Imaging for Deflectometry
Light Field Imaging for Deflectometry

Author: Uhlig, David

Publisher: KIT Scientific Publishing

Published: 2023-07-14

Total Pages: 284

ISBN-13: 3731513064

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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.

Hyperspectral Image Unmixing Incorporating Adjacency Information
Hyperspectral Image Unmixing Incorporating Adjacency Information

Author: Bauer, Sebastian

Publisher: KIT Scientific Publishing

Published: 2018-07-18

Total Pages: 236

ISBN-13: 3731507889

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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.

Computational, label, and data efficiency in deep learning for sparse 3D data
Computational, label, and data efficiency in deep learning for sparse 3D data

Author: Li, Lanxiao

Publisher: KIT Scientific Publishing

Published: 2024-05-13

Total Pages: 256

ISBN-13: 3731513463

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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.

Model-based Filtering of Interfering Signals in Ultrasonic Time Delay Estimations
Model-based Filtering of Interfering Signals in Ultrasonic Time Delay Estimations

Author: Bächle, Matthias

Publisher: KIT Scientific Publishing

Published: 2023-01-09

Total Pages: 218

ISBN-13: 3731512521

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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.

Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images
Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images

Author: Wetzel, Johannes

Publisher: KIT Scientific Publishing

Published: 2022-07-12

Total Pages: 204

ISBN-13: 3731511770

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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.

Machine Learning for Camera-Based Monitoring of Laser Welding Processes
Machine Learning for Camera-Based Monitoring of Laser Welding Processes

Author: Hartung, Julia

Publisher: KIT Scientific Publishing

Published: 2024-03-08

Total Pages: 258

ISBN-13: 3731513331

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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.

Wireless Data Transmission for the Battery Management System of Electric and Hybrid Vehicles
Wireless Data Transmission for the Battery Management System of Electric and Hybrid Vehicles

Author: Alonso, Damián Ezequiel

Publisher: KIT Scientific Publishing

Published: 2017-09-15

Total Pages: 190

ISBN-13: 373150670X

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This work introduces a novel wireless approach for the data transmission within automotive battery management systems. The main target is the reduction of the wiring harness deployed in a battery. The characteristics of the wireless in-battery channel are investigated by means of measurements and software-based electromagnetic simulations. Different types of antennas and frequency bands are analyzed. The performance of the proposed system is evaluated by means of simulations and prototypes.