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| 1 | A new class of scrambling transformation and its application in the image information covering显示文摘This paper studies two kinds of nonlinear transformations, namely the higher-dimensional Arnold transformation and the higher-dimensional Fibonacci Q-transformation and discusses the scrambling action of the two transformations focusing on the phase space of the digital images. A sufficient and necessary condition that a matrix transformation of digital image has periodicity is given. The results show that the two transformations have potential application in the storage and transportation of image information for the purpose of information security. | 齐东旭 邹建成 韩效宥 | 2000 | Science China(Technological Sciences)2000，43，3： | 77 |
| 2 | 数码照相结合ImageJ医学图像分析软件法与无菌薄膜勾边法测量糖尿病皮肤溃疡面积的可靠性比较显示文摘目的探讨一种可靠、无污染、操作简便、适用于临床糖尿病皮肤溃疡表面积(diabetic cutaneous ulcersurface area,DCUSA)测量新方法。方法纳入2005年9月-2007年4月住院治疗的糖尿病皮肤溃疡患者35例。采用数码相机拍摄法(A法)收集患者不同时间点(平均每3天或1周1次)共305个溃疡图像资料,同步采用无菌薄膜勾边法(B法)收集305个溃疡面资料作为对照。将数码照片导入计算机结合Image J医学图像分析软件测得DCUSA,而B法所勾勒溃疡面轮廓通过自带坐标网格计算出DCUSA,由此获得305对面积数据。两测量者之间的一致性采用组内相关系数(intraclass correlation coefficients,ICCs)检验,并应用多元线性回归分析确定两种测量方法之间的相关关系。结果A法测得DCUSA为(4.84±7.73)cm2,B法测得DCUSA为(5.03±7.89)cm2,两种方法所测DCUSA差异无统计学意义(P>0.05)。应用A法测量DCUSA,两测量者间的ICCs为0.965,95%可信区间为(0.940,0.980);应用B法,两测量者间ICCs为0.949,95%可信区间为(0.913,0.971),不同测量者采用同样方法测得的溃疡面积之间的一致性很好。A法与B法测量DCUSA有很强的相关性(r=0.957,P<0.05)。结论数码照相结合Image J医学图像分析软件能较准确地测量糖尿病皮肤溃疡面积,且是一种无污染、易操作、更适用于临床的溃疡面积测量方法。 | 王艳 刘关键 袁南兵 冉兴无 | 2008 | 中国修复重建外科杂志2008，22，5： | 43 |
| 3 | 灌水器微细流道水沙两相流分析和微PIV及抗堵实验研究显示文摘为可视化研究灌水器微细迷宫流道内含有未过滤掉的沙粒的实际流动状况,进而探索迷宫流道的堵塞机理,针对灌水器复杂且微细的迷宫流道结构(1mm左右),该文选取常用的矩形和锯齿形迷宫流道滴片结构,根据液固两相流理论,对其微细流道进行了水沙两相流计算流体力学数值模拟了CFD分析,得到了迷宫流道内流体的速度和流线分布及沙粒的运动轨迹和浓度的瞬时分布,分析认为流道内的低速区及涡旋区是造成堵塞的主要原因。并根据灌水器迷宫流道水沙两相流实验的需要,构建了微细流道中流动状态可视化测试的微粒子图像测速(Particle Image Velocimetry PIV)实验台,尝试应用微PIV测速技术对流道内两相流流场进行了测定,而且配合短周期堵塞实验验证了CFD计算的正确性。通过短周期堵塞实验分析得到了流道单元的最佳结构参数。 | 魏正英 唐一平 温聚英 卢秉恒 | 2008 | 农业工程学报2008，24，6： | 41 |
| 4 | 用扫描仪及Image J软件精确测量叶片形态数量特征的方法显示文摘传统的纸样称重法用来测量离体叶片的面积,烦琐、耗时、精度不高。为寻求一种适合的方法,我们对离体叶片采用扫描仪获取叶片的数字图像,利用Image J软件测量叶片的长、宽、周长、面积及叶柄的长,并与传统的纸样称重测定叶面积法进行比较。结果表明,此方法具有低成本、快速、精确等特点,适用于植物形态学、植物生理生态学、林学及农业等对叶片形态特征的测量研究工作。 | 戴志聪 杜道林 司春灿 林英 郝建良 孙凤 | 2009 | 广西植物2009，29，3： | 48 |
| 5 | Clinical application of DNA ploidy to cervical cancer screening: A review显示文摘Screening for cervical cancer with DNA ploidy assessment by automated quantitative image cytometry has spread throughout China over the past decade and now an estimated 1 million tests per year are done there. Compared to conventional liquid based cytology, DNA ploidy has competitive accuracy with much higher throughput per technician. DNA ploidy has the enormous advantage that it is an objective technology that can be taught in typically 2 or 3 wk, unlike qualitative cytology, and so it can enable screening in places that lack sufficient qualified cytotechnologists and cytopathologists for conventional cytology. Most papers on experience with application of the technology to cervical cancer screening over the past decade were published in the Chinese language. This review aims to provide a consistent framework for analysis of screening data and to summarize some of the work published from 2005 to the end of 2013. Of particular interest are a few studies comparing DNA ploidy with testing for high risk human papilloma virus(hrH PV) which suggest that DNA ploidy is at least equivalent, easier and less expensive than hrH PV testing. There may also be patient management benefits to combining hr HPV testing with DNA ploidy. Some knowledge gaps are identified and some suggestions are made for future research directions. | David Garner | 2014 | World Journal of Clinical Oncology2014，5，5： | 43 |
| 6 | 运用Image J软件分析土壤结构特征显示文摘以土壤团聚体、土壤裂隙以及土壤优先流特征数码图像为研究对象,介绍了ImageJ软件在土壤结构特征分析中的应用。研究结果表明:①马尾松林地表层土壤团聚体圆度大于母质层土壤颗粒的圆度;②运用图像测量方法能够快速地测定土壤裂隙几何特征以及土壤收缩曲线;③土壤优先流示踪图像分析结果显示红壤性水稻土犁底层具有显著的防渗功能,而同一土壤剖面内土壤连通性孔隙存在较大的空间分异。最后,本文还对以上研究结果和图像分析方法进行了探讨。 | 毕利东 张斌 潘继花 | 2009 | 土壤2009，41，4： | 32 |
| 7 | Image segmentation of embryonic plant cell using pulse-coupled neural networks显示文摘Traditional image segmentation algorithms exhibit weak performance for plant cells which have complex structure. On the other hand, pulse-coupled neural network (PCNN) based on Eckhorn’s model of the cat visual cortex should be suitable to the segmentation of plant cell image. But the present theories cannot explain the relationship between the parameters of PCNN mathematical model and the effect of segmentation. Satisfactory results usually require time-consuming selection of experimental parameters. Mean-while, in a proper, selected parametric model, the number of iteration determines the segmented effect evaluated by visual judgment, which decreases the efficiency of image segmentation. To avoid these flaws, this note proposes a new PCNN algorithm for automatically segmenting plant embryonic cell image based on the maximum entropy principle. The algorithm produces a desirable result. In addition, a model with proper parameters can automatically determine the number of iteration, avoid visual judgment, | MA Yide DAI Rolan LI Lian WEI Lin | 2002 | Chinese Science Bulletin2002，47，2： | 28 |
| 8 | A new algorithm of edge detection for color image: Generalized fuzzy operator显示文摘The definition of the generalized fuzzy set is presented for the first time, and a generalized fuzzy operator is proposed to transform a generalized fuzzy set into a normal fuzzy set. The algorithm theory of the operator, as the newest method of the edge detection of a 2-D image, is successfully established. Many experiments haw proved that the algorithm is simpler, more rapid and more precise in location than other edge detection methods. And a schedule of the concrete performance has been given additionally about the edge detection of color images. | 陈武凡 鲁贤庆 陈建军 吴国雄 | 1995 | Science China Mathematics1995，38，10： | 28 |
| 9 | Effects of rare earth on inclusions and corrosion resistance of 10PCuRE weathering steel显示文摘The types, morphologies and distributions of nonmetallic inclusions in Cu-P weathering steels with and without rare earth were analyzed through a quantitative image analyzer, scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS) attached to SEM. Solid-soluble content of rare earth in the steels was analyzed by non-aqua electroanalysis and ICP. The results showed that rare earth modified the types and the morphologies of inclusions in the weathering steels. The small spherical rare earth oxysulfides and rare earth sulphides replaced the elongated MnS inclusions in the RE weathering steels. The rare earth inclusions dispersedly distributed and most inclusions were smaller than 2 μm in size. The optimum content of RE was 0.0065%-0.016% for 10PCuRE weathering steels containing about 0.002% oxygen and 0.004% sulfur. Solid-soluble content of rare earth in steels was (14-20)×10-6, which can act as a micro-alloying element. The corrosion resistance of 10PCuRE weathering steels and Q235 were studied by dry-wet cyclic immersion test. Their corrosion rates were obtained respectively. The polarization curves and pitting corrosion behaviors of weathering steels with and without rare earth were measured by electrochemical methods. The corrosion resistance of Cu-P weathering steels was improved by adding an appropriate amount of rare earth. Less and fewer rare earth inclusions largely decreased pitting susceptibility and rate of pit propagation. The pitting potential and the resistance against pitting corrosion of the RE weathering steel were significantly improved due to the modification of rare earth to inclusions. | 岳丽杰 王龙妹 韩金生 | 2010 | Journal of Rare Earths2010，28，6： | 25 |
| 10 | Advances in theory and applications of fuzzy clustering显示文摘The summarization and evaluation of the advances in fuzzy clustering theory are made in the aspects including the criterion functions, algorithm implementations, validity measurements and applications. Several important directions for a further study and the application prospects are also pointed out. | GAO Xinbo & XIE Weixin1. Institute of Electronic Engineering, Xidian University, Xi’an 710071, China 2. President office, Shenzhen University, Shenzhen 518060, China. | 2000 | Chinese Science Bulletin2000，45，11： | 25 |
| 11 | 免疫组织化学Image Pro Plus图像半定量分析的参数选择显示文摘应用ImageProPlus(IPP)图像分析软件测算阳性细胞面积(area)、平均光密度值、积分光密度值,研究面积参数选择、阳性结果选色方式对免疫组织化学结果的影响,以期获得IPP图像分析免疫组织化学的标准化结果。方法:采用人工计数法将矽肺免疫组织化学结果分为低表达、中表达、高表达3组。应用IPP软件,面积选择参数分为过滤10、30、50、100以下的阳性显色;采用吸管取色、RGB、HIS3种选择阳性显色的方法;编写宏文件,计算各组阳性细胞面积、平均光密度值(MD)、积分光密度值(IOD)的均值和总和,并与人工计数法测算结果进行比较。结果:在滤过面积10-100范围内,面积参数对各组阳性细胞面积总和、IOD总和统计结果无影响,与人工计数法结果一致;采用HIS选色测算的面积总和、IOD总和与人工计数法结果一致。结论:IPP图像分析能够简易、快速地进行免疫组织化学结果的半定量分析,面积参数在一定范围内对测算结果无影响,HIS选色方式可能较吸管显色和RGB选色方式好,而IOD总和是比较可靠、稳定的半定量指标。 | 徐洪 杨方 袁媛 程华 魏中秋 李淑钰 | 2012 | 解剖学杂志2012，35，1： | 26 |
| 12 | The global image of the Moon obtained by the Chang'E-1:Data processing and lunar cartography显示文摘The global lunar image of the first phase of Chinese Lunar Exploration Program is the first image that covered all over the surface of the Moon. It will serve as a critical foundation for succeeding exploration and scientific research. In this paper, the acquisition, characteristics, and data quality of Chang'E-1 CCD image data are described in detail. Also described are the methodology and procedure of data processing. According to rule of planetary cartography, the image data have been processed, geometrically corrected, and then mosaicked and merged in a scale of 1:2.5 million. The results of data processing and charting show that the image data of Chang'E-1 CCD and their geometric precision meet the demand of charting a map in the scale of 1:2.5 million. The relative geometric positioning precision of the global image is better than 240 m, and the absolute geometric positioning precision is slightly better than that of the ULCN2005 and Clementine lunar basemap (V2.0). The plane positioning precision is approximately 100-1500 m. This global image proves to be the best global image of the Moon so far in terms of space coverage, image quality, and positioning precision. | LI ChunLai1, LIU JianJun1, REN Xin1, MOU LingLi1, ZOU YongLiao1, ZHANG HongBo1, Lü Chang1, LIU JianZhong1, ZUO Wei1, SU Yan1, WEN WeiBin1, BIAN Wei1, ZHAO BaoChang2, YANG JianFeng2, ZOU XiaoDuan1, WANG Min1, XU Chun1, KONG DeQing1, WANG XiaoQian1, WANG Fang1, GENG Liang1, ZHANG ZhouBin1, ZHENG Lei1, ZHU XinYing1, LI JunDuo1 & OUYANG ZiYuan11 National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China 2 Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, China | 2010 | Science China Earth Sciences2010，53，8： | 22 |
| 13 | 基于Image J软件的硬质合金显微组织参数化定量分析显示文摘基于体视学原理和硬质合金显微组织特征,结合现代计算机技术,提出一种应用于WC+β(β为粘结相)2相组织的硬质合金显微组织体视学参量定量化表征的方法。利用Image J软件对硬质合金扫描电镜图像进行处理,实现对合金中WC硬质相和粘结相的体积分数、WC晶粒尺寸和分布、WC晶粒形状因子、WC邻接度以及β相平均自由程的参数化定量分析。以WC-8.5Co合金为例,展示合金显微组织参数的定量分析和表征过程。 | 朱骥飞 张立 徐涛 张忠健 刘向中 王喆 | 2015 | 粉末冶金材料科学与工程2015，20，1： | 20 |
| 14 | PhaseStain:the digital staining of label-free quantitative phase microscopy images using deep learning显示文摘Using a deep neural network,we demonstrate a digital staining technique,which we term PhaseStain,to transform the quantitative phase images(QPI)of label-free tissue sections into images that are equivalent to the brightfield microscopy images of the same samples that are histologically stained.Through pairs of image data(QPI and the corresponding brightfield images,acquired after staining),we train a generative adversarial network and demonstrate the effectiveness of this virtual-staining approach using sections of human skin,kidney,and liver tissue,matching the brightfield microscopy images of the same samples stained with Hematoxylin and Eosin,Jones’stain,and Masson’s trichrome stain,respectively.This digital-staining framework may further strengthen various uses of label-free QPI techniques in pathology applications and biomedical research in general,by eliminating the need for histological staining,reducing sample preparation related costs and saving time.Our results provide a powerful example of some of the unique opportunities created by data-driven image transformations enabled by deep learning. | Yair Rivenson Tairan Liu Zhensong Wei Yibo Zhang Kevin de Haan Aydogan Ozcan | 2019 | Light(Science & Applications)2019，8，1： | 19 |
| 15 | Quantitative approach on SEM images of microstructure of clay soils显示文摘The working principles of Videolab Image Processing System (VIPS), the examining methods of orientation of microstructural units of clay soils and analysing results on SEM images of some typical microstructures of clay soils using the VIPS are introduced. | 施斌 李生林 M.Tolkachev | 1995 | Science China Chemistry1995，38，6： | 18 |
| 16 | Determination of rice panicle numbers during heading by multi-angle imaging显示文摘Plant phenomics has the potential to accelerate progress in understanding gene functions and environmental responses. Progress has been made in automating high-throughput plant phenotyping. However, few studies have investigated automated rice panicle counting. This paper describes a novel method for automatically and nonintrusively determining rice panicle numbers during the full heading stage by analyzing color images of rice plants taken from multiple angles. Pot-grown rice plants were transferred via an industrial conveyer to an imaging chamber. Color images from different angles were automatically acquired as a turntable rotated the plant. The images were then analyzed and the panicle number of each plant was determined. The image analysis pipeline consisted of extracting the i2 plane from the original color image, segmenting the image, discriminating the panicles from the rest of the plant using an artificial neural network, and calculating the panicle number in the current image. The panicle number of the plant was taken as the maximum of the panicle numbers extracted from all 12 multi-angle images. A total of 105 rice plants during the full heading stage were examined to test the performance of the method. The mean absolute error of the manual and automatic count was 0.5, with 95.3% of the plants yielding absolute errors within ± 1. The method will be useful for evaluating rice panicles and will serve as an important supplementary method for high-throughput rice phenotyping. | Lingfeng Duan Chenglong Huang Guoxing Chen Lizhong Xiong Qian Liu Wanneng Yang | 2015 | The Crop Journal2015，3，3： | 18 |
| 17 | Deep Learning Based Single Image Super-resolution:A Survey显示文摘Single image super-resolution has attracted increasing attention and has a wide range of applications in satellite imaging, medical imaging, computer vision, security surveillance imaging, remote sensing, objection detection, and recognition. Recently, deep learning techniques have emerged and blossomed, producing ' the state-of-the-art” in many domains. Due to their capability in feature extraction and mapping, it is very helpful to predict high-frequency details lost in low-resolution images. In this paper, we give an overview of recent advances in deep learning-based models and methods that have been applied to single image super-resolution tasks. We also summarize, compare and discuss various models from the past and present for comprehensive understanding and finally provide open problems and possible directions for future research. | Viet Khanh Ha Jin-Chang Ren Xin-Ying Xu Sophia Zhao Gang Xie Valentin Masero Amir Hussain | 2019 | International Journal of Automation and computing2019，16，4： | 17 |
| 18 | Satellite Image Matching Method Based on Deep Convolutional Neural Network显示文摘This article focuses on the first aspect of the album of deep learning: the deep convolutional method. The traditional matching point extraction algorithm typically uses manually designed feature descriptors and the shortest distance between them to match as the matching criterion. The matching result can easily fall into a local extreme value, which causes missing of the partial matching point. Targeting this problem, we introduce a two-channel deep convolutional neural network based on spatial scale convolution, which performs matching pattern learning between images to realize satellite image matching based on a deep convolutional neural network. The experimental results show that the method can extract the richer matching points in the case of heterogeneous, multi-temporal and multi-resolution satellite images, compared with the traditional matching method. In addition, the accuracy of the final matching results can be maintained at above 90%. | Dazhao FAN Yang DONG Yongsheng ZHANG | 2019 | Journal of Geodesy and Geoinformation Science2019，2，2： | 16 |
| 19 | Nanophotonic media for artificial neural inference显示文摘We show optical waves passing through a nanophotonic medium can perform artificial neural computing.Complex information is encoded in the wavefront of an input light. The medium transforms the wavefront to realize sophisticated computing tasks such as image recognition. At the output, the optical energy is concentrated in well-defined locations, which, for example, can be interpreted as the identity of the object in the image.These computing media can be as small as tens of wavelengths and offer ultra-high computing density. They exploit subwavelength scatterers to realize complex input/output mapping beyond the capabilities of traditional nanophotonic devices. | ERFAN KHORAM ANG CHEN DIANJING LIU LEI YING QIQI WANG MING YUAN ZONGFU YU | 2019 | Photonics Research2019，7，8： | 16 |
| 20 | Contrast enhanced ultrasound of hepatocellular carcinoma显示文摘Sonazoid(Daiichi Sankyo,Tokyo,Japan),a secondgeneration of a lipid-stabilized suspension of a perfluorobutane gas microbubble contrast agent,has been used clinically in patients with liver tumors and for harmonic gray-scale ultrasonography(US)in Japan since January 2007.Sonazoid-enhanced US has two phases of contrast enhancement:vascular and late.In the late phase of Sonazoid-enhanced US,we scanned the whole liver using this modality at a low mechanical index(MI)without destroying the microbubbles, and this method allows detection of small viable hepatocellular carcinoma(HCC)lesions which cannot be detected by conventional US as perfusion defects in the late phase.Re-injection of Sonazoid into an HCC lesion which previously showed a perfusion defect in the late phase is useful for confirming blood flow intothe defects.High MI intermittent imaging at 2 frames per second in the late phase is also helpful in differentiation between necrosis and viable hypervascular HCC lesions.Sonazoid-enhanced US by the coded harmonic angio mode at a high MI not only allows clear observation of tumor vessels and tumor enhancement, but also permits automatic scanning with Sonazoidenhanced three dimensional(3D)US.Fusion images combining US with contrast-enhanced CT or contrastenhanced MRI have made it easy to detect typical or atypical HCC lesions.By these methods,Sonazoidenhanced US can characterize liver tumors,grade HCC lesions histologically,recognize HCC dedifferentiation, evaluate the efficacy of ablation therapy or transcatheter arterial embolization,and guide ablation therapy for unresectable HCC.This article reviews the current developments and applications of Sonazoid-enhanced US and Sonazoid-enhanced 3D US for diagnosing and treating hepatic lesions,especially HCC. | Kazushi Numata Manabu Morimoto Masaaki Kondo Yosuke Kunishi Tomohiko Sasaki Akito Nozaki Katsuaki Tanaka | 2010 | World Journal of Radiology2010，2，2： | 15 |
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