Movement analyses of ball bearings with regard to stable and unstable cage motion behavior are often conducted by simulations, typically by investigating the cage whirl. Some experimental studies exist in which the ca...
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Movement analyses of ball bearings with regard to stable and unstable cage motion behavior are often conducted by simulations, typically by investigating the cage whirl. Some experimental studies exist in which the cage is modified in order to capture its movement with sensors. This paper presents an image-based approach for investigating the cage motion without modifications, which in turn allows a cage motion analysis of an angular contact ball bearing under operation condition. Two new image evaluation algorithms are presented in detail and their suitability is verified by experiments on a bearing test rig.
The objective of this research is to realize a cooperative task in which a robot follows a human user's moves for various degrees of freedom using a high-speed hand and a high-speed camera. We constructed a system...
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ISBN:
(纸本)9781509021826
The objective of this research is to realize a cooperative task in which a robot follows a human user's moves for various degrees of freedom using a high-speed hand and a high-speed camera. We constructed a system that makes the robot follow the direction in which the human wants to move a board while keeping it horizontal by holding it at one end with the human and at the other end with the robot hand, by controlling the robot hand based on high-speed visual feedback. We propose an image processing algorithm for estimating the object state (position and angles) and the inverse kinematics of the robot hand to control the hand based on the object state. We show experimental results for the task using the proposed strategy, imageprocessing, and robot hand control. The experiment confirmed that this task was successfully completed using the proposed method.
This being the age of digitization, the rates of cyber-crimes has been surging prodigiously. With people carrying their IDs around with them, one would think it would be difficult to pose as someone else in a public s...
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ISBN:
(纸本)9781538609668
This being the age of digitization, the rates of cyber-crimes has been surging prodigiously. With people carrying their IDs around with them, one would think it would be difficult to pose as someone else in a public setting. However, it has been proven incredibly easy to create fake documents with powerful photo editing soft-wares being as pervasive as ever. Documents can be scanned and forged within minutes with the help of these soft-wares that have tools readily available just to do that. While photo manipulation software is handy and ubiquitous, there are also means to deftly investigate these morphed documents. This paper lays a foundation on investigation of digitally manipulated documents. No public databases have been used for analysis. The entire database used in this paper has been created solely for the purpose of studying the forensic investigation of illegal documents. Then, analysis was done on this self-created dataset using image processing algorithms and later, discriminatory results were studied.
Texture characterization of photographic prints can provide scholars with valuable information regarding photographers? aesthetic intentions and working practices. Currently, texture assessment is strictly based on th...
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Texture characterization of photographic prints can provide scholars with valuable information regarding photographers? aesthetic intentions and working practices. Currently, texture assessment is strictly based on the visual acuity of a range of scholars associated with collecting institutions, such as museum curators and conservators. Natural interindividual discrepancies, intraindividual variability, and the large size of collections present a pressing need for computerized and automated solutions for the texture characterization and classification of photographic prints. In the this article, this challenging imageprocessing task is addressed using an anisotropic multiscale representation of texture, the hyperbolic wavelet transform (HWT), from which robust multiscale features are constructed. Cepstral distances aimed at ensuring balanced multiscale contributions are computed between pairs of images. The resulting large-size affinity matrix is then clustered using spectral clustering, followed by a Ward linkage procedure. For proof of concept, these procedures are first applied to a reference data set of historic photographic papers that combine several levels of similarity and second to a large data set of culturally valuable photographic prints held by the Museum of Modern Art in New York. The characterization and clustering results are interpreted in collaboration with art scholars with an aim toward developing new modes of art historical research and humanities-based collaboration.
An olive seperation machine based on imageprocessing has been developed in this study. For this purpose, mechanical and electronical design of the machine was performed. In the part of mechanical design, the air valv...
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An olive seperation machine based on imageprocessing has been developed in this study. For this purpose, mechanical and electronical design of the machine was performed. In the part of mechanical design, the air valves were used for separation of olives. The air valves were controlled with an electronic card according to output of the image processing algorithm. The position of the olives that were detected as black was switched and then the olives are thrown to a storage case. AN industrial digital camera was used for imageprocessing, and an image processing algorithm is developed in Visual Basic 6.0 environment. The outputs of image processing algorithm were sent to electronic card by serial port. The image processing algorithm developed could process 30 frames per second. The image processing algorithm the system could separate 30 olives per second which is optimal and feasible for real time operation.
In semiconductor industry it is necessary to test devices at different electro-thermal load conditions in order to detect possible weaknesses in design and functionality as soon as possible. To reduce the testing time...
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In semiconductor industry it is necessary to test devices at different electro-thermal load conditions in order to detect possible weaknesses in design and functionality as soon as possible. To reduce the testing time, often accelerated stress tests are used. The repetitive applied stress during accelerated lifetime tests causes visible signs of damage in the devices, which in the worst case triggers device failure. The focus of this work lies in the description of the damage propagation in a metal layer of interest by means of scanning acoustic microscopy images. To automatically quantify and measure the damage in these images, two image processing algorithms are developed. For this purpose, the imageprocessing software imageJ is used. The algorithms can be applied on different types of devices providing robust and easily interpretable results. To model the amount of the damaged area in the metal layer dependent on the load condition, beta regression models are applied. For the development of the model, the betareg package of the statistical program R is used. In this work, two types of beta regression models are considered. The so-called basic beta regression model models the mean of the response, but assumes a constant precision parameter. The so-called variable dispersion model models both, the mean and the precision parameter. Different model set ups are compared based on goodness-of-fit criteria, where in the end the variable dispersion model is chosen as it provides the most accurate results. The results show that the information about the damage in the metal layer extracted from the scanning acoustic microscopy images by imageprocessing techniques is physically plausible. It can be modeled with a beta regression model based on a physically meaningful set of covariates and also predictions for a new set of images can be made.
Measurements in civil engineering load tests usually require considerable time and complex procedures. Therefore, measurements are usually constrained by the number of sensors resulting in a restricted monitored area....
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Measurements in civil engineering load tests usually require considerable time and complex procedures. Therefore, measurements are usually constrained by the number of sensors resulting in a restricted monitored area. imageprocessing analysis is an alternative way that enables the measurement of the complete area of interest with a simple and effective setup. In this article photo sequences taken during load displacement tests were captured by a digital camera and processed with image correlation algorithms. Three different image processing algorithms were used with real images taken from tests using specimens of PVC and Plexiglas. The data obtained from the image processing algorithms were also compared with the data from physical sensors. A complete displacement and strain map were obtained. Results show that the accuracy of the measurements obtained by photogrammetry is equivalent to that from the physical sensors but with much less equipment and fewer setup requirements.
Nanoparticles of drugs or colloidal carrier systems are capable of providing substantial advantages for drug bioavailability, but manufacturing nanoparticulate drugs or drug carriers remains a challenge because tradit...
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Nanoparticles of drugs or colloidal carrier systems are capable of providing substantial advantages for drug bioavailability, but manufacturing nanoparticulate drugs or drug carriers remains a challenge because traditional mechanical or chemical batch mode processes might lack precise control of nanoparticle sizes. Microfluidic approaches are believed to give advantages but often do not provide chemically inert environments and lack controllable operation. Here, segmented flow devices with symmetrical design for centered organic phase injection and for nanoparticle precipitation in transparent and chemically inert glass microchannels are presented. Femtosecond laser fabrication was used to structure borosilicate glass wafers with hydrophilic microchannels of nearly circular cross section. They allow for ultra-fast mixing of solvents with aqueous fluids and subsequent precipitation of poorly water soluble drug nanoparticles or colloidal carrier particles. The best results for mixing and controlled precipitation were obtained with flow focusing and gas segmentation occurring at the same channel intersection point. In such systems, early interdiffusion of the solvent and aqueous solution before ultra-fast convective mixing in the plug is suppressed. A novel optical analysis technique revealed that the speed of mixing can be well controlled by simply adjusting the volume flow rate of the gas phase where changes in the liquid flow rate have practically no influence. In a controlled and stable Taylor flow, smallest plug volumes of 3.8 nl can be generated, which allows complete mixing in 9 ms. The production of lipid nanoparticles down to a diameter of 74 nm could already be demonstrated.
Electrophoretic display (EPD) has become one of the most important display technologies due to its bistability, low power consumption and outdoor readability. In this work, an image processing algorithm, which aims to...
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Electrophoretic display (EPD) has become one of the most important display technologies due to its bistability, low power consumption and outdoor readability. In this work, an image processing algorithm, which aims to enable video playback on EPD device without image distortion and grayscale loss by reducing the particle moving distance in EPD, is proposed and verified. The refresh time could be shortened by 22.2% with a video playback speed of more than 10 frames per second (fps) being achieved. This method could reduce the EPD switching time for quicker information displaying, and potentially extend the applications of EPD with video-like display property in the future.
This paper proposes an image processing algorithm for detection and tracking of aerial vehicles in sight. The proposed algorithm detects moving objects using the image homography calculated from a video stream taken f...
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ISBN:
(纸本)9781612848006
This paper proposes an image processing algorithm for detection and tracking of aerial vehicles in sight. The proposed algorithm detects moving objects using the image homography calculated from a video stream taken from the onboard camera and determines whether the detected objects are approaching aerial vehicles by the Probabilistic Multi- Hypothesis Tracking (PMHT) method. This algorithm performs well especially when it is needed to detect any approaching aircraft seen with cluttered background. Further, our algorithm is suitable for real flight application as it is less sensitive to light conditions or color variations. The performance of the proposed algorithm is validated by applying it to the onboard video clips taken during actual flights using two unmanned aerial vehicles.
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