Image Zernike Moments Shape Feature Evaluation Based on Image Reconstruction

The evaluation approach to the accuracy of the image feature descriptors plays an important role in image feature extraction. We point out that the image shape feature can be described by the Zernike moments set while briefly introducing the basic concept of the Zernike moment. After talking about the image reconstruction technique based on the inverse transformation of Zernike moment, the evaluation approach to the accuracy of the Zernike moments shape feature via the dissimilarity degree and the reconstruction ratio between the original image and the reconstructed image is proposed. The experiment results demonstrate the feasibility of this evaluation approach to image Zernike moments shape feature.

Study on the quality evaluation metrics for compressed spaceborne hyperspectral data

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.

A Software Quality Evaluation System: JT SQE

JT SQE system is a software quality and measurement system. Its design was based on the Chinese national standards of software product evaluation and quality characteristics. The JT SQE system consists of two parts. One is the model for software quality measurement, which is of hierarchical structure. The other is the process of requirements definition, measurement and rating. The system is a feasible model for software quality evaluation and measurement, and it has the advantage of a friendly user interface, simple operation, ease of revision and maintenance, and expansible measurements.

Multispectral Imaging for Authenticity Identification and Quality Evaluation of <i>Flos carthami</i>

The identification and quality evaluation of Flos carthami were studied using tunable liquid spectral imaging instrument, to discuss the application range and advantages of spectral imaging technology in Chinese medicine identification and quality control field. The Flos carthami was indentified by extracting the normalized characteristic spectral curves of Flos carthami, Crocus sativus and Dendranthema morifolium, which were standard samples supplied by National Institute for Drug Control. The qualities of Flos carthamies collecting from different pharmacies were evaluated by extracting their normalized characteristic spectral curves. The imaging spectrum testing system was designed independently. The spectral resolution was 5 nm, and the spectral range was from 400 nm to 680 nm. The results showed that the normalized characteristic spectral curve of Flos carthami was significantly different from those of Crocus sativus’ and Dendranthema morifolium’s, and the fluorescence intensity of Flos carthami from different commercial sources were different. Spectral imaging technology could be used to identify and evaluate Flos carthami, and operation method was rapid, convenient and non-destructive.

Objective Image Fusion Quality Evaluation Using Structural Similarity

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.

Image aesthetic quality evaluation using convolution neural network embedded learning

A way of embedded learning convolution neural network(ELCNN) based on the image content is proposed to evaluate the image aesthetic quality in this paper. Our approach can not only solve the problem of small-scale data but also score the image aesthetic quality. First, we chose Alexnet and VGG_S to compare for confirming which is more suitable for this image aesthetic quality evaluation task. Second, to further boost the image aesthetic quality classification performance, we employ the image content to train aesthetic quality classification models. But the training samples become smaller and only using once fine-tuning cannot make full use of the small-scale data set. Third, to solve the problem in second step, a way of using twice fine-tuning continually based on the aesthetic quality label and content label respective is proposed, the classification probability of the trained CNN models is used to evaluate the image aesthetic quality. The experiments are carried on the small-scale data set of Photo Quality. The experiment results show that the classification accuracy rates of our approach are higher than the existing image aesthetic quality evaluation approaches.

OBJECTIVE IMAGE QUALITY MEASURES AND THEIR APPLICATIONS IN SEGMENTATION EVALUATION

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.

Perceptual Quality Assessment of Omnidirectional Images:Subjective Experiment and Objective Model Evaluation

Virtual reality(VR) environment can provide immersive experience to viewers.Under the VR environment, providing a good quality of experience is extremely important.Therefore, in this paper, we present an image quality assessment(IQA) study on omnidirectional images. We first build an omnidirectional IQA(OIQA) database, including 16 source images with their corresponding 320 distorted images. We add four commonly encountered distortions. These distortions are JPEG compression, JPEG2000 compression, Gaussian blur, and Gaussian noise. Then we conduct a subjective quality evaluation study in the VR environment based on the OIQA database. Considering that visual attention is more important in VR environment, head and eye movement data are also tracked and collected during the quality rating experiments. The 16 raw and their corresponding distorted images,subjective quality assessment scores, and the head-orientation data and eye-gaze data together constitute the OIQA database. Based on the OIQA database, we test some state-of-the-art full-reference IQA(FR-IQA) measures on equirectangular format or cubic formatomnidirectional images. The results show that applying FR-IQA metrics on cubic format omnidirectional images could improve their performance. The performance of some FR-IQA metrics combining the saliency weight of three different types are also tested based on our database. Some new phenomena different from traditional IQA are observed.

New sensor technologies in quality evaluation of Chinese materia medica:2010–2015

New sensor technologies play an important role in quality evaluation of Chinese materia medica(CMM) and include near-infrared spectroscopy,chemical imaging,electronic nose and electronic tongue.This review on quality evaluation of CMM and the application of the new sensors in this assessment is based on studies from 2010 to 2015,with prospects and opportunities for future research.

Analysis of the Relevance of Evaluation Criteria for Multicomponent Image Segmentation

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.

Research on Evaluation of Green Land System in Old Residential Areas

Development of residential areas in China had been divided into three stages, and the paper had pointed out that China now highlighted living but neglected environment. The paper had concluded major existing problems of green lands in residential areas, and based on this, it considered that it was necessary to launch an evaluation on green land system in residential areas. It had analyzed identification of evaluation system indexes and weights, and proposed an evaluation system model. Furthermore, by taking "Hayiji" residential area for example, it had illustrated the application of the evaluation system of green lands in old residential areas in detail. Through evaluation on them, the primary problems of each green land system had been identified, and pertinent reconstruction modes had been proposed, so as to provide reference for reconstruction of green land systems of old residential areas in North China.

不同成像参数下CBCT的成像质量分析

目的:主观评价和客观评估不同成像参数下CBCT的图像质量,分析图像质量的主观评价和客观评价间的关系。方法:分别采用6台不同品牌CBCT扫描仪〔3D Accuitomo(Morita)、i-CAT(Kavo)、5G(NewTom)、Smart3D(北京朗视)、DCT Pro(Vatech)、VGi(NewTom)〕,在各个品牌的典型曝光条件下(电压和电流强度不同)扫描空间分辨率模体和高仿真头模,7位医师对拍摄的CBCT图像进行主观评价打分,比较不同CBCT扫描仪的空间分辨率和对常见口腔解剖结构的可见性。客观评价指标采用各仪器所获的图像空间分辩率(LP/mm)。结果:7位医师的组内一致性和组间一致性均无显著性差异。主观评价New Tom 5G为2分,i-CAT为5分,其余4个品牌匀为4分,客观评价i-CAT的LP/mm为1.8,Smart3D为2.0,其余4个品牌为1.0~1.7。在相同管电流条件下,不同管电压的图像主观质量有显著性差异。在相同管电压条件下,不同管电流的图像主观质量有显著性差异。结论:图像质量的主客观评价具有一定的一致性,不同品牌之间的客观评价差异可能与电压、电流强度不同有关。

基于大数据分析的可见光图像融合质量评价研究

在复杂可见光图像下图像融合质量受到遮挡和重叠等因素影响,需要进行图像融合质量评价优化设计,提出基于大数据分析的可见光图像融合质量评价模型,采用相应图像块之间的视觉特征提取方法建立可见光图像的深度立体匹配模型,将不同光照强下采集的图像像素值显示映射到嵌入特征空间中,完成预处理,构建可见光图像的动态像素大数据融合模型,通过端到端的视差融合估计实现对可见光图像的动态融合,采用超分辨重建方法获得真实配对图像,分析SR结果与LR图像中的相似内容,以特征级别的图像分布域反映可见光图像融合质量评价,实现可见光图像融合质量评价。仿真结果表明,采用该方法进行可见图像融合的匹配性能较好,图像的对比度、饱和度高,提高了可见光的成像质量,耗时为0.012 s,平均迭代次数为1.569,并且均方误差仅为1.071,总误差仅为4.646,该方法有效提高了图像融合质量的同时,提高了评估效果。

典型场景彩色夜视融合图像质量主观评价实验

评价特定场景下红外和可见光(微光)彩色融合图像质量的研究对彩色夜视融合技术和嵌入式系统开发具有重要作用。由于主观评价实验能够得到与人眼感受一致的评价结果因而成为研究的热点。因此,该文针对海天、森林、城镇、乡村和特殊条件五个典型应用场景,提出基于动态参考的多刺激比较主观评价法,开展了大规模典型场景彩色融合图像主观评价实验,建立了包含1648幅彩色融合图像的质量主观评价数据库;此外,提出基于评价实验特性的模糊综合评判方法用于分析不同融合算法的场景适用性。实验数据一致性分析中,该主观评价法具有较高的皮尔逊相关系数,表明本文构建的数据集具有良好的有效性与可靠性。该文结果可为进一步开展夜视融合图像质量评价研究提供实验基础和理论依据。

不同呼吸方式在盆腔磁共振增强中对图像质量的影响

目的:通过与平静呼吸下盆腔磁共振增强扫描比较,探究屏气状态下在盆腔磁共振增强中应用的可行性及图像质量。方法:前瞻性连续收集2019年1月至2023年4月于本院行盆腔磁共振增强检查患者,以平静呼吸下扫描40例作为对照组,同期以屏气状态下扫描40例作为实验组,由2名高年资影像医师采用5分评分标准(1分最差,5分最佳)主观评价两组MRI增强图像的整体图像质量、背景抑制、伪影、生殖系统结构(子宫或前列腺精囊)显示情况,以及客观评价盆腔生殖结构的信噪比(SNR)和对比噪声比(CNR),统计分析两组图像质量的差异性。结果:在主观评价上,以屏气状态下扫描的盆腔磁共振增强图像的整体图像质量、背景抑制、伪影、生殖系统结构显示情况均比平静呼吸下扫描图像质量打分要高,伪影在两组间比较具有统计学差异(P<0.05),其他方面比较没有显著差异(P>0.05)。在客观评价上,屏气状态下扫描的盆腔磁共振增强图像生殖结构的SNR和CNR均比平静呼吸下扫描图像要高,两组比较均具有统计学差异(P<0.05)。另外,2名阅片者之间的主观评分及客观测量SNR和CNR值一致性均较好(Kappa=0.8640.893;ICC=0.897、0.903)。结论:与平静呼吸下盆腔磁共振增强扫描相比,屏气状态下扫描更能活得高质量的图像,而且明显减少图像伪影,满足诊断的要求。

图像去雾技术研究与系统实现

针对雾天降质图像的清晰化处理问题,研究了多种图像去雾算法和图像质量的评价方法,设计开发了一个基于Matlab平台的图像去雾系统,分别对全局/局部直方图均衡化去雾算法、Retinex去雾算法和暗通道先验去雾算法进行了实验研究。通过实验,不仅证实了算法的有效性,而且还从均方差、峰值信噪比、结构相似性三个方面对算法的去雾效果进行了客观评价。

高质量发展背景下开放教育学习评价的价值转向与体系重构

学习评价是开放教育高质量发展的关键点和难点。基于新时代开放教育高质量发展的战略部署和深化教育评价改革的政策要求,开放教育学习评价必然要实现价值转向,由“对”学生的学习评价转向“为”学生的学习评价、由目标达成评价转向价值增值评价、由正式学习评价转向终身学习评价、由人工主观评价转向大数据客观评价。新时代开放教育学习评价需要扩大学习评价主体、建立多元共融新组合;拓展学习评价内容、实现学习成果全覆盖;改善学习评价形式、形成多元立体新模态;优化学习评价结果,实现立德树人新使命。以此构建新的学习评价体系,推动开放教育高质量发展。

中国民生发展水平评价指标体系构建与测度

文章基于社会质量理论视角,构建包含社会性保障、经济性保障、社会凝聚、社会包容、社会赋权维度的民生发展水平评价指标体系,采用熵值法测度2016—2020年我国30个省份的民生发展水平,并运用Mar⁃kov转移概率矩阵探讨民生发展水平的演进规律。研究表明:从整体来看,各省份的民生发展水平不高;除东部地区外,中部地区、西部地区和东北地区的民生发展水平均不高,而且各省份的民生发展水平缺乏稳定性,呈波动态势;较多省份属于低、极低质量民生发展水平,区域内部民生发展水平呈“分离”现象,东部地区的民生发展水平始终高于中部地区、西部地区和东北地区;各省份的民生发展水平有升级或降级的可能;民生发展水平的空间集聚呈“中心—外围—边缘”的圈层扩散分布格局,在空间格局上呈抱团状、零星状结构。

中文版炎症性肠病残疾测量工具测量特征的系统评价

目的系统评价中文版炎症性肠病残疾测量工具的测量学特性及方法学质量。方法本研究系统检索PubMed、Web of Science数据库及中国知网、万方数据库、维普数据库中与炎症性肠病患者残疾测量工具测量学特性评价相关的研究,检索时限为建库至2023年9月12日。依据健康测量工具遴选标准(COSMIN)要求,由2名研究者独立进行文献筛选和资料提取。采用COSMIN偏倚风险清单及质量标准评定工具的测量学特性并形成最终推荐意见。结果本研究共纳入5篇文献,涉及4种中文版炎症性肠病残疾测量工具。纳入研究均未完整报告COSMIN方法学质量推荐的共10项测量特性,最终纳入的研究工具均为B级或C级推荐。结论推荐临床可暂时使用中文版炎症性肠病残疾指数、汉化版炎症性肠病患者疾病负担程度量表评估炎症性肠病患者的残疾情况,但其测量学特性尚需进一步验证。

基于街景分析技术的滨江路空间品质研究——以重庆三代滨江路为例

滨江路是滨江城市中极具特征性的线性空间,但针对其特殊的地理环境条件,在特征性指标体系建构及量化评价等方面还有待拓展。结合滨江路环境要素分析构建特征性指标体系,运用基于语义分割的街景分析技术,对重庆市不同时期的3代滨江路展开特征总结与问题剖析。结果表明:1)在指标体系研究方面,应依据不同研究对象和研究目的,有针对性地选取指标;2)在个案层面,由于道路功能的综合提升及城市地形限制的减弱,使新一代滨江路空间品质显著提高;3)跨江立体交通节点对滨江路空间品质影响较大。利用街景技术建立滨江路空间品质评价指标体系,所得结论可为其品质提升提供科学依据。