Image segmentation is an important stage in many applications such as image, video and computer processing. Generally image interpretation depends on it. The materials and methods used to demonstrate are described. Th...Image segmentation is an important stage in many applications such as image, video and computer processing. Generally image interpretation depends on it. The materials and methods used to demonstrate are described. The results are presented and analyzed. Several approaches and algorithms for image segmentation have been developed, but it is difficult to evaluate the efficiency and to make an objective comparison of different segmentation methods. This general problem has been addressed for the evaluation of a segmentation result and the results are available in the literature. In this work, we first presented some criteria of evaluation of segmentation commonly used in image processing with reviews of their models. Then multicomponent synthetic images of known composition are applied to these criteria to explore the operation and evaluate its relevance. The results show that choosing an assessment method depends on the purpose, however the criterion of Zeboudj appears powerful for the evaluation of region segmentations for properly separated classes, on the contrary the criteria of Levine-Nazif and Borsotti are adapted to the methods of classification and permit to build homogeneous regions or classes. The values of the Rosenbeger criterion are generally low and similar, so hard to make a comparison of segmentations with this criterion.展开更多
货车故障轨旁图像检测系统(TFDS,Trouble of moving Freight car Detection System)是保障铁路货车运行安全的重要技术装备。为适应TFDS检车作业场所集中化的管理变革,建设了TFDS集中检车系统(简称:TFDS检车平台),通过汇集多个轨旁TFDS...货车故障轨旁图像检测系统(TFDS,Trouble of moving Freight car Detection System)是保障铁路货车运行安全的重要技术装备。为适应TFDS检车作业场所集中化的管理变革,建设了TFDS集中检车系统(简称:TFDS检车平台),通过汇集多个轨旁TFDS探测站的检测数据,实现TFDS动态检车任务的统一分配和作业过程的闭环管理。随着TFDS动态检车任务量不断加重,亟需强化动态检车作业质量考核,提高检车员辨识车辆故障的能力,以确保运用货车安全运行、满足货运装车需要。本文针对TFDS检车平台在应用中存在的不足,充分利用该平台的TFDS货车图像数据,研究开发TFDS货车图像数据应用系统,满足动态检车作业质量评价、检车员培训等实际需求,有助于提升TFDS集中检车作业的质量和效率。展开更多
Recent developments in 3D graphics technology have led to extensive processes on 3D meshes(e.g.,compression,simplification,transmission and watermarking),these processes unavoidably cause the visual perceptual degrada...Recent developments in 3D graphics technology have led to extensive processes on 3D meshes(e.g.,compression,simplification,transmission and watermarking),these processes unavoidably cause the visual perceptual degradation of the 3D objects.The existing mesh visual quality evaluation metrics either require topology constrain or fail to reflect the perceived visual quality.Meanwhile,for the 3D objects that are observed on 2D screens by the users,it is reasonable to apply image metric to assess the distortion caused by mesh simplification.We attempt to explore the efficiency of image metric for assessing the visual fidelity of the simplified 3D model in this paper.For this purpose,several latest and most effective image metrics,2D snapshots,number and pooling algorithms are involved in our study,and finally tested on the IEETA simplification database.The statistical data allow the researcher to select the optimal parameter for this image-based mesh visual quality assessment and provide a new perspective for the design and performance assessment of mesh simplification algorithms.展开更多
文摘Image segmentation is an important stage in many applications such as image, video and computer processing. Generally image interpretation depends on it. The materials and methods used to demonstrate are described. The results are presented and analyzed. Several approaches and algorithms for image segmentation have been developed, but it is difficult to evaluate the efficiency and to make an objective comparison of different segmentation methods. This general problem has been addressed for the evaluation of a segmentation result and the results are available in the literature. In this work, we first presented some criteria of evaluation of segmentation commonly used in image processing with reviews of their models. Then multicomponent synthetic images of known composition are applied to these criteria to explore the operation and evaluate its relevance. The results show that choosing an assessment method depends on the purpose, however the criterion of Zeboudj appears powerful for the evaluation of region segmentations for properly separated classes, on the contrary the criteria of Levine-Nazif and Borsotti are adapted to the methods of classification and permit to build homogeneous regions or classes. The values of the Rosenbeger criterion are generally low and similar, so hard to make a comparison of segmentations with this criterion.
文摘货车故障轨旁图像检测系统(TFDS,Trouble of moving Freight car Detection System)是保障铁路货车运行安全的重要技术装备。为适应TFDS检车作业场所集中化的管理变革,建设了TFDS集中检车系统(简称:TFDS检车平台),通过汇集多个轨旁TFDS探测站的检测数据,实现TFDS动态检车任务的统一分配和作业过程的闭环管理。随着TFDS动态检车任务量不断加重,亟需强化动态检车作业质量考核,提高检车员辨识车辆故障的能力,以确保运用货车安全运行、满足货运装车需要。本文针对TFDS检车平台在应用中存在的不足,充分利用该平台的TFDS货车图像数据,研究开发TFDS货车图像数据应用系统,满足动态检车作业质量评价、检车员培训等实际需求,有助于提升TFDS集中检车作业的质量和效率。
文摘Recent developments in 3D graphics technology have led to extensive processes on 3D meshes(e.g.,compression,simplification,transmission and watermarking),these processes unavoidably cause the visual perceptual degradation of the 3D objects.The existing mesh visual quality evaluation metrics either require topology constrain or fail to reflect the perceived visual quality.Meanwhile,for the 3D objects that are observed on 2D screens by the users,it is reasonable to apply image metric to assess the distortion caused by mesh simplification.We attempt to explore the efficiency of image metric for assessing the visual fidelity of the simplified 3D model in this paper.For this purpose,several latest and most effective image metrics,2D snapshots,number and pooling algorithms are involved in our study,and finally tested on the IEETA simplification database.The statistical data allow the researcher to select the optimal parameter for this image-based mesh visual quality assessment and provide a new perspective for the design and performance assessment of mesh simplification algorithms.
