Image segmentation is a critical step of image analysis. Segmentation evaluation is an effective procedure for studying the performance of segmentation techniques, in which quality measure plays an important role. Thi...Image segmentation is a critical step of image analysis. Segmentation evaluation is an effective procedure for studying the performance of segmentation techniques, in which quality measure plays an important role. This paper presents a group of new objective quality measures for segmentation evaluation and compares their performances. In addition, to verify the effectiveness of these new measures, an appropriate classification of segmentation is proposed. According to this classification, several representative algorithms from different categories are selected for comparison testing. Some valuable results are obtained and presented.展开更多
Objective evaluations of fused images are important in comparing the performance of different image fusion algorithms. This paper describes a structural similarity metric that does not use a reference image for image ...Objective evaluations of fused images are important in comparing the performance of different image fusion algorithms. This paper describes a structural similarity metric that does not use a reference image for image fusion evaluations. The metric is based on the universal image quality index and addresses not only the similarities between the input images and the fused image, but also the similarities among the input images. The evaluation process distinguishes between complementary information and redundant information using similarities among the input images. The metric uses the information classification to estimate how much structural similarity is preserved in the fused image. Tests demonstrate that the metric correlates well with subjective evaluations of the fused images.展开更多
目的:研究西门子多排螺旋CT的高级建模迭代重建(ADMIRE)算法对重建图像质量的影响。方法:在同一扫描条件下,使用西门子SOMATOM Force CT对Catphan500体模的CTP515和CTP528模块进行螺旋扫描,未用或使用不同强度的ADMIRE算法对图像进行重...目的:研究西门子多排螺旋CT的高级建模迭代重建(ADMIRE)算法对重建图像质量的影响。方法:在同一扫描条件下,使用西门子SOMATOM Force CT对Catphan500体模的CTP515和CTP528模块进行螺旋扫描,未用或使用不同强度的ADMIRE算法对图像进行重建,对不同重建条件下的图像进行主观和客观评价。结果:当图像低对比度为0.3%、0.5%和1.0%时,未用ADMIRE对图像进行重建,其噪声分别为4.90、4.50和5.23;使用ADMIRE2和ADMIRE5重建图像时其噪声分别减少18.35%和53.23%、18.82%和52.32%以及20.33%和53.79%。用ADMIRE0、ADMIRE2和ADMIRE5分别对CTP528模块图像进行重建,对其图像进行主观观察,可观察到的最小细节相同,均为7.0 LP/cm。结论:使用ADMIRE对图像进行重建可以在不影响图像清晰度的同时有效降低噪声,提高CT图像的低对比度分辨率,以帮助临床医师更好的观察组织密度相近的病灶,为临床医师诊断病情提供帮助。展开更多
Based on the raw data of spaceborne dispersive and interferometry imaging spectrometer,a set of quality evaluation metrics for compressed hyperspectral data is initially established in this paper.These quality evaluat...Based on the raw data of spaceborne dispersive and interferometry imaging spectrometer,a set of quality evaluation metrics for compressed hyperspectral data is initially established in this paper.These quality evaluation metrics,which consist of four aspects including compression statistical distortion,sensor performance evaluation,data application performance and image quality,are suited to the comprehensive and systematical analysis of the impact of lossy compression in spaceborne hyperspectral remote sensing data quality.Furthermore,the evaluation results would be helpful to the selection and optimization of satellite data compression scheme.展开更多
基金Supported under grants CEC-F1994660 and CEC-TM199416
文摘Image segmentation is a critical step of image analysis. Segmentation evaluation is an effective procedure for studying the performance of segmentation techniques, in which quality measure plays an important role. This paper presents a group of new objective quality measures for segmentation evaluation and compares their performances. In addition, to verify the effectiveness of these new measures, an appropriate classification of segmentation is proposed. According to this classification, several representative algorithms from different categories are selected for comparison testing. Some valuable results are obtained and presented.
基金Supported by the National Natural Science Foundation of China (No.60673024)
文摘Objective evaluations of fused images are important in comparing the performance of different image fusion algorithms. This paper describes a structural similarity metric that does not use a reference image for image fusion evaluations. The metric is based on the universal image quality index and addresses not only the similarities between the input images and the fused image, but also the similarities among the input images. The evaluation process distinguishes between complementary information and redundant information using similarities among the input images. The metric uses the information classification to estimate how much structural similarity is preserved in the fused image. Tests demonstrate that the metric correlates well with subjective evaluations of the fused images.
文摘目的:研究西门子多排螺旋CT的高级建模迭代重建(ADMIRE)算法对重建图像质量的影响。方法:在同一扫描条件下,使用西门子SOMATOM Force CT对Catphan500体模的CTP515和CTP528模块进行螺旋扫描,未用或使用不同强度的ADMIRE算法对图像进行重建,对不同重建条件下的图像进行主观和客观评价。结果:当图像低对比度为0.3%、0.5%和1.0%时,未用ADMIRE对图像进行重建,其噪声分别为4.90、4.50和5.23;使用ADMIRE2和ADMIRE5重建图像时其噪声分别减少18.35%和53.23%、18.82%和52.32%以及20.33%和53.79%。用ADMIRE0、ADMIRE2和ADMIRE5分别对CTP528模块图像进行重建,对其图像进行主观观察,可观察到的最小细节相同,均为7.0 LP/cm。结论:使用ADMIRE对图像进行重建可以在不影响图像清晰度的同时有效降低噪声,提高CT图像的低对比度分辨率,以帮助临床医师更好的观察组织密度相近的病灶,为临床医师诊断病情提供帮助。
基金supported by the Chinese 863 Plan Program under Grant 2012AA121504
文摘Based on the raw data of spaceborne dispersive and interferometry imaging spectrometer,a set of quality evaluation metrics for compressed hyperspectral data is initially established in this paper.These quality evaluation metrics,which consist of four aspects including compression statistical distortion,sensor performance evaluation,data application performance and image quality,are suited to the comprehensive and systematical analysis of the impact of lossy compression in spaceborne hyperspectral remote sensing data quality.Furthermore,the evaluation results would be helpful to the selection and optimization of satellite data compression scheme.
