Extension of Microchannel Plate (MCP) to a bulk conductive substrate was considered to be an effective approach to eliminate ion feedback problem, and a vanadium iron lead phosphate glass had been identified can be tailored to have appropriate volume conductivity and suitable for MCP fabrication. In this paper, a new reformulated vanadium iron lead alumina phosphate glass was used to fabricate a bulk conductive glass MCP, the fabrication process is in the same way as the conventional lead silicate glass MCP fabrication, but in the absence of a hydrogen firing treatment, although it was succeed in fabricating some experimental samples of 25mm diameter full active area MCP with 10μm pore diameter and 40:1~60:1 length to diameter ratio, the experimental sample also demonstrated its bulk conductivity and certain secondary electron emission property, but its gain is very low, especially its mechanical strength is insufficient. The physical and chemical properties of this vanadium iron lead alumina phosphate glass, and the performance and behavior of this glass during the bulk conductive glass MCP fabrication process, as well as its experimental sample test results were detail described.
{"title":"Fabrication of a bulk conductive glass microchannel plate","authors":"J. Pan, J. Lv, T. Zheng, Yanhong Li, W. Xu","doi":"10.1117/12.894613","DOIUrl":"https://doi.org/10.1117/12.894613","url":null,"abstract":"Extension of Microchannel Plate (MCP) to a bulk conductive substrate was considered to be an effective approach to eliminate ion feedback problem, and a vanadium iron lead phosphate glass had been identified can be tailored to have appropriate volume conductivity and suitable for MCP fabrication. In this paper, a new reformulated vanadium iron lead alumina phosphate glass was used to fabricate a bulk conductive glass MCP, the fabrication process is in the same way as the conventional lead silicate glass MCP fabrication, but in the absence of a hydrogen firing treatment, although it was succeed in fabricating some experimental samples of 25mm diameter full active area MCP with 10μm pore diameter and 40:1~60:1 length to diameter ratio, the experimental sample also demonstrated its bulk conductivity and certain secondary electron emission property, but its gain is very low, especially its mechanical strength is insufficient. The physical and chemical properties of this vanadium iron lead alumina phosphate glass, and the performance and behavior of this glass during the bulk conductive glass MCP fabrication process, as well as its experimental sample test results were detail described.","PeriodicalId":355017,"journal":{"name":"Photoelectronic Detection and Imaging","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123867386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TDI-CCD can improve the sensitivity of space camera without any degradation of spatial resolution which is widely used in aerospace imaging devices. The article describes the basic working principle and application characteristics of TDI-CCD devices, analyses the composition of TDI-CCD imaging noise, and propose a new method to analyze TDI-CCD imaging noise with statistical probability distribution. In order to estimate the distribution of gray values affect by noise we introduced the concept of skewness and kurtosis. We design an experiment using constant illumination light source, take image with TDI-CCD working at different stage such as stage 16, stage 32, stage 48, stage 64 and stage 96, analyse the characteristics of image noise with the method we proposed, experimental results show that the gray values approximately meet normal distribution in large sample cases.
{"title":"The research on statistical properties of TDI-CCD imaging noise","authors":"Yingying Gu, Xiangheng Shen, Gengxian He","doi":"10.1117/12.899171","DOIUrl":"https://doi.org/10.1117/12.899171","url":null,"abstract":"TDI-CCD can improve the sensitivity of space camera without any degradation of spatial resolution which is widely used in aerospace imaging devices. The article describes the basic working principle and application characteristics of TDI-CCD devices, analyses the composition of TDI-CCD imaging noise, and propose a new method to analyze TDI-CCD imaging noise with statistical probability distribution. In order to estimate the distribution of gray values affect by noise we introduced the concept of skewness and kurtosis. We design an experiment using constant illumination light source, take image with TDI-CCD working at different stage such as stage 16, stage 32, stage 48, stage 64 and stage 96, analyse the characteristics of image noise with the method we proposed, experimental results show that the gray values approximately meet normal distribution in large sample cases.","PeriodicalId":355017,"journal":{"name":"Photoelectronic Detection and Imaging","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121427375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A novel camera calibration method based on circular ring is proposed in this paper. It has been proven that the first two columns of calculated point transfer homography mapping from the circular ring plane to the image plane have one isometric ambiguity. But in that case the restriction of homography on the IAC (the image of absolute conic) is still tenable, so the restriction could be applied to the calibration of the internal camera parameters. The ambiguity of the first two columns of homography directly results in the isometric ambiguity of the rotation matrix which can be explained in geometry as the isotropy of circular ring. But the third column of homography has no ambiguity, so the unique of which could not lead to the ambiguity of the translation vector. The external camera parameters can be calibrated using circular ring while there is a discrepancy of isometric transformation of rotation matrix within the model plane, which is most distinguished from the principle of the other plane-based calibration method such as points, lines and multiple conics. The proposed method has two distinctly superiority over the calibration based on coplanar points or lines: Better noise immunity because of the global property of the circular ring feature, and automatic calibration because the image matching of the circular ring feature is much easier compared with the one of points or lines. Both simulation and real data are used to prove the correctness, high accuracy and robustness of our calibration method.
{"title":"Camera calibration method based on circular ring","authors":"Yun Yuan, Zhaokun Zhu","doi":"10.1117/12.900863","DOIUrl":"https://doi.org/10.1117/12.900863","url":null,"abstract":"A novel camera calibration method based on circular ring is proposed in this paper. It has been proven that the first two columns of calculated point transfer homography mapping from the circular ring plane to the image plane have one isometric ambiguity. But in that case the restriction of homography on the IAC (the image of absolute conic) is still tenable, so the restriction could be applied to the calibration of the internal camera parameters. The ambiguity of the first two columns of homography directly results in the isometric ambiguity of the rotation matrix which can be explained in geometry as the isotropy of circular ring. But the third column of homography has no ambiguity, so the unique of which could not lead to the ambiguity of the translation vector. The external camera parameters can be calibrated using circular ring while there is a discrepancy of isometric transformation of rotation matrix within the model plane, which is most distinguished from the principle of the other plane-based calibration method such as points, lines and multiple conics. The proposed method has two distinctly superiority over the calibration based on coplanar points or lines: Better noise immunity because of the global property of the circular ring feature, and automatic calibration because the image matching of the circular ring feature is much easier compared with the one of points or lines. Both simulation and real data are used to prove the correctness, high accuracy and robustness of our calibration method.","PeriodicalId":355017,"journal":{"name":"Photoelectronic Detection and Imaging","volume":"86 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127438827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
How to distinguish the camouflage from its natural background is a challenging problem in target detection. As sensing technology advances, more and more information can be extracted from the scenes of interest. This includes spatial information captured by cameras, spectral information retrieved from spectrometers, and polarimetric information obtained by polarimeters. Spatial, spectral, and polarimetric information reveal the different characteristics of objects and background. While the spectral information tend to tell us about the distribution of material components in a scene, polarimetric information tells us about surface feature, shape, shading, and roughness. Polarization tends to provide information that is largely uncorrelated with spectral and intensity images, thus has the potential to enhance many fields of optical metrology. However, both spectral and polarimetric detection systems may suffer from substantial false alarms and missed detection because of their respective background clutter. Since polarimetric and multispectral imaging can provide complementary discriminative information, to distinguish the camouflage target from its natural background, in this paper the visible and near infrared polarimetric information is jointly utilized using imagery fusion technology. A polarimetric imagery fusion algorithm was first proposed based on polarized modified soil adjusted vegetation index to distinguish objects under vegetable environment. Then, the spectral and polarimetric information was fused by using false-color mapping and fuzzy c-means clustering algorithm for more robust object separation. Experimental results have shown that better identification performance was achieved.
{"title":"Camouflaged target detection based on visible and near infrared polarimetric imagery fusion","authors":"Pu-cheng Zhou, Feng Wang, Hong-kun Zhang, Mo-gen Xue","doi":"10.1117/12.899590","DOIUrl":"https://doi.org/10.1117/12.899590","url":null,"abstract":"How to distinguish the camouflage from its natural background is a challenging problem in target detection. As sensing technology advances, more and more information can be extracted from the scenes of interest. This includes spatial information captured by cameras, spectral information retrieved from spectrometers, and polarimetric information obtained by polarimeters. Spatial, spectral, and polarimetric information reveal the different characteristics of objects and background. While the spectral information tend to tell us about the distribution of material components in a scene, polarimetric information tells us about surface feature, shape, shading, and roughness. Polarization tends to provide information that is largely uncorrelated with spectral and intensity images, thus has the potential to enhance many fields of optical metrology. However, both spectral and polarimetric detection systems may suffer from substantial false alarms and missed detection because of their respective background clutter. Since polarimetric and multispectral imaging can provide complementary discriminative information, to distinguish the camouflage target from its natural background, in this paper the visible and near infrared polarimetric information is jointly utilized using imagery fusion technology. A polarimetric imagery fusion algorithm was first proposed based on polarized modified soil adjusted vegetation index to distinguish objects under vegetable environment. Then, the spectral and polarimetric information was fused by using false-color mapping and fuzzy c-means clustering algorithm for more robust object separation. Experimental results have shown that better identification performance was achieved.","PeriodicalId":355017,"journal":{"name":"Photoelectronic Detection and Imaging","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121741651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A new method is presented for measuring the electric parameters in dielectric barrier discharge (DBD), and the effect of barrier on discharge is investigated. Results show that the number of discharge current is variable in different half period of applied voltage, and the current pulse width is in the range of 160 to 280ns. The discharge power increases monotonously with the applied voltage, and the maximum power is 22.62w, which corresponding power density of 5.76w/cm3. The electric field in the gas gap decreases monotonously with the increase of gas gap, and the optimum work condition is proposed in DBD.
{"title":"The influence of barrier on dielectric barrier discharge","authors":"Yongjie Wang, Z. Yin, Mingqiang Huang, Jingyu Wan","doi":"10.1117/12.900815","DOIUrl":"https://doi.org/10.1117/12.900815","url":null,"abstract":"A new method is presented for measuring the electric parameters in dielectric barrier discharge (DBD), and the effect of barrier on discharge is investigated. Results show that the number of discharge current is variable in different half period of applied voltage, and the current pulse width is in the range of 160 to 280ns. The discharge power increases monotonously with the applied voltage, and the maximum power is 22.62w, which corresponding power density of 5.76w/cm3. The electric field in the gas gap decreases monotonously with the increase of gas gap, and the optimum work condition is proposed in DBD.","PeriodicalId":355017,"journal":{"name":"Photoelectronic Detection and Imaging","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128217986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The linear array CCD camera is the main sensor on the push-broom satellite. Because of the difference response among the CCD detectors, the striping noise is an obvious phenomenon in the remote sensing image along the scanning direction, which can seriously affect the image quality and quantitative application. The object of relative radiometric calibration is to eliminate them. As the state of satellite electronics varies from orbit to orbit, an automatic de-striping algorithm is needed that depends only on information that can be attained from the image data. There are many published techniques that are used to remove striping from images such as the histogram matching, histogram equalization, and Fourier transform filter methods. In order to decrease the effect we try to remove these stripes in CCD images using a relative radiometric correction algorithm based on the adaptive filtering pattern in this paper. Firstly, aiming at the characteristics of strip noise in push-broom scanner, the cause of strip noise formation is described. The suitable 1-D nonlinear filter is chosen to remove the obvious stripping based on the stripping distribution. Then, 1-D smoothing filtering is used to calculate the gain and offset coefficients. At last, the thin stripping is de-striped with the obtained coefficients. The final results indicate that the proposed method can effectively remove the stripping noise along the scanning direction effectively. Comparison of mean value and standard deviations obtained from the strip noise removed image by the proposed method and histogram equalization method suggested that the proposed method is evidently superior to the traditional histogram equalization method in preserving the image detail very well. The result of this study is applicable in striping removal of push-broom satellite's remote sensing data.
{"title":"A relative radiometric correction method for linear array push-broom imagery","authors":"Haichao Li, Hailing Song","doi":"10.1117/12.900195","DOIUrl":"https://doi.org/10.1117/12.900195","url":null,"abstract":"The linear array CCD camera is the main sensor on the push-broom satellite. Because of the difference response among the CCD detectors, the striping noise is an obvious phenomenon in the remote sensing image along the scanning direction, which can seriously affect the image quality and quantitative application. The object of relative radiometric calibration is to eliminate them. As the state of satellite electronics varies from orbit to orbit, an automatic de-striping algorithm is needed that depends only on information that can be attained from the image data. There are many published techniques that are used to remove striping from images such as the histogram matching, histogram equalization, and Fourier transform filter methods. In order to decrease the effect we try to remove these stripes in CCD images using a relative radiometric correction algorithm based on the adaptive filtering pattern in this paper. Firstly, aiming at the characteristics of strip noise in push-broom scanner, the cause of strip noise formation is described. The suitable 1-D nonlinear filter is chosen to remove the obvious stripping based on the stripping distribution. Then, 1-D smoothing filtering is used to calculate the gain and offset coefficients. At last, the thin stripping is de-striped with the obtained coefficients. The final results indicate that the proposed method can effectively remove the stripping noise along the scanning direction effectively. Comparison of mean value and standard deviations obtained from the strip noise removed image by the proposed method and histogram equalization method suggested that the proposed method is evidently superior to the traditional histogram equalization method in preserving the image detail very well. The result of this study is applicable in striping removal of push-broom satellite's remote sensing data.","PeriodicalId":355017,"journal":{"name":"Photoelectronic Detection and Imaging","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126125460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Feature points and object edges are two kinds of primitives which are frequently used in target tracking algorithms. Feature points can be easily localized in an image. Their correspondences between images can be detected accurately. They can adapt to wide baseline transformations. However, feature points are not so stable that they are fragile to changes in illumination and viewpoint. On the contrary, object edges are stable under a very wide range of illumination and viewpoint changes. Unfortunately, edge-based algorithms often fail in the presence of highly textured targets and clutter which produce too many irrelevant edges. We found that both edge-based and point-based tracking have failure modes which are complementary. Based on this analysis, we propose a novel tracking algorithm which fuses point and edge features. Our tracking algorithm uses feature points matching to track object first, and then uses the transformation parameters archived in the first step to initialize the edge tracking. By this means, our algorithm alleviates the disturbance of irrelevant edges. Then, we use the texture boundary detection algorithm to find the precise object boundary. Texture boundary detection is different from the conventional gradient-based edge detection which can directly compute the most probable location of a texture boundary on the search line. Therefore, it is very fast and can be incorporated into a real-time tracking algorithm. Experimental results show that our tracking algorithm has outstanding tracking accuracy and robustness.
{"title":"Fusing edges and feature points for robust target tracking","authors":"W. Li, Zelin Shi, Jian Yin, Qinghai Ding","doi":"10.1117/12.900721","DOIUrl":"https://doi.org/10.1117/12.900721","url":null,"abstract":"Feature points and object edges are two kinds of primitives which are frequently used in target tracking algorithms. Feature points can be easily localized in an image. Their correspondences between images can be detected accurately. They can adapt to wide baseline transformations. However, feature points are not so stable that they are fragile to changes in illumination and viewpoint. On the contrary, object edges are stable under a very wide range of illumination and viewpoint changes. Unfortunately, edge-based algorithms often fail in the presence of highly textured targets and clutter which produce too many irrelevant edges. We found that both edge-based and point-based tracking have failure modes which are complementary. Based on this analysis, we propose a novel tracking algorithm which fuses point and edge features. Our tracking algorithm uses feature points matching to track object first, and then uses the transformation parameters archived in the first step to initialize the edge tracking. By this means, our algorithm alleviates the disturbance of irrelevant edges. Then, we use the texture boundary detection algorithm to find the precise object boundary. Texture boundary detection is different from the conventional gradient-based edge detection which can directly compute the most probable location of a texture boundary on the search line. Therefore, it is very fast and can be incorporated into a real-time tracking algorithm. Experimental results show that our tracking algorithm has outstanding tracking accuracy and robustness.","PeriodicalId":355017,"journal":{"name":"Photoelectronic Detection and Imaging","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125418990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Micro-Digital Sun Sensor (μDSS) is a sun detector which senses the respective angle between a satellite and the sun. It is composed of a solar cell power supply, a RF communication block and a CMOS Image Sensor (CIS) chip, which is called APS+. The paper describes the implementation of a prototype of the μDSS APS+ processed in a standard 0.18μm CMOS process. The μDSS is applied for micro or nano satellites. Power consumption is a very rigid specification in this kind of application, thus the APS+ is optimized for low power consumption. This character is realized by a specific pixel design which implements profiling and windowing during the detection process. The profiling is completely fast and power efficiently by a "Winner Take ALL (WTA)" principle. The measurement results shows that the APS+ achieves a reduction of power consumption by more than a factor 10 compared to state of-the-art. Besides the low power consumption, the APS+ also proposes a quadruple sampling method which improves thermal noise with 3-T Active Pixel image Sensor (APS) structure.
{"title":"An autonomous low-power high-resolution micro-digital sun sensor","authors":"N. Xie, A. Theuwissen","doi":"10.1117/12.900140","DOIUrl":"https://doi.org/10.1117/12.900140","url":null,"abstract":"Micro-Digital Sun Sensor (μDSS) is a sun detector which senses the respective angle between a satellite and the sun. It is composed of a solar cell power supply, a RF communication block and a CMOS Image Sensor (CIS) chip, which is called APS+. The paper describes the implementation of a prototype of the μDSS APS+ processed in a standard 0.18μm CMOS process. The μDSS is applied for micro or nano satellites. Power consumption is a very rigid specification in this kind of application, thus the APS+ is optimized for low power consumption. This character is realized by a specific pixel design which implements profiling and windowing during the detection process. The profiling is completely fast and power efficiently by a \"Winner Take ALL (WTA)\" principle. The measurement results shows that the APS+ achieves a reduction of power consumption by more than a factor 10 compared to state of-the-art. Besides the low power consumption, the APS+ also proposes a quadruple sampling method which improves thermal noise with 3-T Active Pixel image Sensor (APS) structure.","PeriodicalId":355017,"journal":{"name":"Photoelectronic Detection and Imaging","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124186695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Current distortion correction systems can not meet the requirements of the large-field optical display equipment because of small field, low resolution, poor real-time property and commonality. "The symmetrical transform" and "the improved bilinear interpolation" were proposed. The general system scheme was designed and implemented in the Virtex-5 FPGA devices. The appropriate data structure of the look-up table was adopted and the optimized scheme for the input memory named "the double even-odd cache" was put forward. MIG (Memory Interface Generator) software tool was utilized to control DDR2 SDRAM and DSP48E was used. The real-time distortion correction system of the large-field optical display equipment was accomplished. The experimental result shows that the correction system can correct the large-field and high-resolution (1280x1024) video image (60 frames per second). The system delays only 1.48ms while the deviation in precision is less than 9' and has the well commonality.
{"title":"Real-time distortion correction system of large-field optical display equipment based on FPGA","authors":"Chun Zheng, Yongjun Zhou, Y. Zheng, Jie Li","doi":"10.1117/12.899291","DOIUrl":"https://doi.org/10.1117/12.899291","url":null,"abstract":"Current distortion correction systems can not meet the requirements of the large-field optical display equipment because of small field, low resolution, poor real-time property and commonality. \"The symmetrical transform\" and \"the improved bilinear interpolation\" were proposed. The general system scheme was designed and implemented in the Virtex-5 FPGA devices. The appropriate data structure of the look-up table was adopted and the optimized scheme for the input memory named \"the double even-odd cache\" was put forward. MIG (Memory Interface Generator) software tool was utilized to control DDR2 SDRAM and DSP48E was used. The real-time distortion correction system of the large-field optical display equipment was accomplished. The experimental result shows that the correction system can correct the large-field and high-resolution (1280x1024) video image (60 frames per second). The system delays only 1.48ms while the deviation in precision is less than 9' and has the well commonality.","PeriodicalId":355017,"journal":{"name":"Photoelectronic Detection and Imaging","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133062374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Li-song Deng, Wen Liang, Xiuhong Fan, T. Xu, Huijiao Yang, Ligong Chen, Dejun Chen, Y. Liu
We demonstrate a real-time, high-accuracy, non-contacting optoelectronic sensing system for measuring the steel rope tensile deformation. Tensile deformation of steel rope is detected in real-time using a linear CCD. For high-accuracy measurement, floating threshold method is used to binarize and distinguish the difference between the testing objects and the background. By using the linear fitting, 1.4% relative error at tensile deformation range from 0 to 10 mm is realized. Some improvements for increasing the precision of the measurement are proposed.
{"title":"Measuring the steel tensile deformation based on linear CCD","authors":"Li-song Deng, Wen Liang, Xiuhong Fan, T. Xu, Huijiao Yang, Ligong Chen, Dejun Chen, Y. Liu","doi":"10.1117/12.900275","DOIUrl":"https://doi.org/10.1117/12.900275","url":null,"abstract":"We demonstrate a real-time, high-accuracy, non-contacting optoelectronic sensing system for measuring the steel rope tensile deformation. Tensile deformation of steel rope is detected in real-time using a linear CCD. For high-accuracy measurement, floating threshold method is used to binarize and distinguish the difference between the testing objects and the background. By using the linear fitting, 1.4% relative error at tensile deformation range from 0 to 10 mm is realized. Some improvements for increasing the precision of the measurement are proposed.","PeriodicalId":355017,"journal":{"name":"Photoelectronic Detection and Imaging","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114551584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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