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| 1 | Medical image segmentation using improved FCM显示文摘Image segmentation is one of the most important problems in medical image processing,and the existence of partial volume effect and other phenomena makes the problem much more complex.Fuzzy C-means,as an effective tool to deal with PVE,however,is faced with great challenges in efficiency.Aiming at this,this paper proposes one improved FCM algorithm based on the histogram of the given image,which will be denoted as HisFCM and divided into two phases.The first phase will retrieve several intervals on which to compute cluster centroids,and the second one will perform image segmentation based on improved FCM algorithm.Compared with FCM and other improved algorithms,HisFCM is of much higher efficiency with satisfying results.Experiments on medical images show that HisFCM can achieve good segmentation results in less than 0.1 second,and can satisfy real-time requirements of medical image processing. | ZHANG XiaoFeng ZHANG CaiMing TANG WenJing WEI ZhenWen | 2012 | Science China(Information Sciences)2012，55，5： | 20 |
| 2 | A self-adaptive negative selection algorithm used for anomaly detection显示文摘A novel negative selection algorithm (NSA),which is referred to as ANSA,is presented. In many actual anomaly detection systems,the training data are just partially composed of the normal elements,and the self/nonself space often varies over time. Therefore,anom-aly detection system has to build the profile of the system based on a part of self elements and adjust itself to adapt those variables. However,previous NSAs need a large number of self elements to build the profile of the system,and lack adaptability. In order to over-come these limitations,the proposed approach uses a novel technique to adjust the self radius and evolve the nonself-covering detectors to build an appropriate profile of the system. To determine the performance of the approach,the experiments with the well-known data-set were performed. Results exhibited that our proposed approach outperforms the previous techniques. | Jinquan Zeng,Xiaojie Liu,Tao Li,Caiming Liu,Lingxi Peng,Feixian Sun Department of Computer Science,Sichuan University,Chengdu 610065,China | 2009 | Progress in Natural Science:Materials International2009，19，2： | 10 |
| 3 | Research on big data applications in Global Energy Interconnection显示文摘Construction of Global Energy Interconnection(GEI) is regarded as an effective way to utilize clean energy and it has been a hot research topic in recent years. As one of the enabling technologies for GEI, big data is accompanied with the sharing, fusion and comprehensive application of energy related data all over the world. The paper analyzes the technology innovation direction of GEI and the advantages of big data technologies in supporting GEI development, and then gives some typical application scenarios to illustrate the application value of big data. Finally, the architecture for applying random matrix theory in GEI is presented. | Dongxia Zhang Robert Caiming Qiu | 2018 | Global Energy Interconnection2018，1，3： | 9 |
| 4 | Image denoising and deblurring: non-convex regularization, inverse diffusion and shock filter显示文摘A large number of applications in image processing and computer vision depend on image quality. In this paper, main concerns are image denoising and deblurring simultaneously in a restoration task by three types of methodologies: non-convex regularization, inverse diffusion and shock filter. We discuss their relations in the context of image deblurring: the inverse diffusion implied by the non-convex regularization, and the superior ability of deblurring edge of the shock filter to that of the inverse diffusion, both in 1D and 2D cases. Finally, we propose a region-based adaptive anisotropic diffusion with shock filter method, which shows advantages of deblurring edges, denoising and smoothing contours in experiments, compared with some related methods. Therein an idea of 'divide and rule' is introduced. | FU ShuJun 1,2,3 , ZHANG CaiMing 2 & TAI XueCheng 3,4 1 School of Mathematics, Shandong University, Jinan 250100, China 2 School of Computer Science and Technology, Shandong University, Jinan 250101, China 3 School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore 639798, Singapore 4 Department of Mathematics, University of Bergen, Bergen 5008, Norway | 2011 | Science China(Information Sciences)2011，54，6： | 8 |
| 5 | Cubic surface fitting to image by combination显示文摘We present a new method for constructing a fitting surface to image data. The new method is based on a supposition that the given image data are sampled from an original scene that can be represented by a surface defined by piecewise quadratic polynomials. The surface representing the original scene is known as the original surface in this paper. Unlike existing methods, which generally construct the fitting surface to the original surface using image data as interpolation data, the new method constructs the fitting surface using the image data as constraints to reverse the sampling process, which improves the approximation precision of the fitting surface. Associated with each data point and its near region, the new method constructs a quadratic polynomial patch locally using the sampling formula as constraint. The quadratic patch approximates the original surface with a quadratic polynomial precision. The fitting surface which approximates the original surface is formed by the combination of all the quadratic polynomial patches. The experiments demonstrate that compared with Bi-cubic and Separable PCC methods, the new method produced resized images with high precision and good quality. | LI XueMei ZHANG CaiMing YUE YiZhen WANG KunPeng | 2010 | Science China(Information Sciences)2010，53，7： | 7 |
| 6 | Adaptive bidirectional diffusion for image restoration显示文摘A large number of applications in image processing and computer vision depend on image quality. In this paper, combining the forward diffusion with the backward diffusion by different weights, we present an adaptive bidirectional diffusion method for image denoising and deblurring simultaneously. Further, we introduce a gradient factor into the data fidelity term, which forms a spatially varying constraint and allows a better restoration of image edges and fine details. In order to obtain a stable solution, we develop a numerically stable scheme and give its theoretical analysis. Finally, we show advantages of this method in deblurring edges, denoising and restoring fine details of image compared with other related methods in experiments. | FU ShuJun ZHANG CaiMing | 2010 | Science China(Information Sciences)2010，53，12： | 5 |
| 7 | Temperature and Precipitation Changes in China During the Holocene显示文摘我们这里在全新统期间在中国考察温度和降水的代理记录,特别最后二几千年。代理数据,重建的方法论,和在重建的不确定性的质量在比较不同温度和降水重建并且在全新统期间澄清温度和降水的时间、空间的模式被强调。全新统气候通常温暖、湿。最温暖的时期发生在 9.6 6.2 cal ka BP,而最大的季风降水的一个时期在大约 11.0 cal ka BP 开始了并且持续了直到大约 8.0 5.0 cal ka BP。有一系列千年规模的冷或干燥的事件,在气候变化的一般趋势上附加。在过去的二几千年期间,在第 20 世纪的一个温暖的趋势清楚地被检测,但是温暖的大小比中世纪的温暖的时期和中间的全新统的最大水位小。冷条件在小冰期(广告 1400 广告 1900 ) 期间在中国的全部上发生了,但是温暖中世纪的温暖的时期(广告 900 广告 1300 ) 不在中国是不同的,特别西方中国。降水的空间模式在中国显示出重要地区性的差别,特别华东。现代温暖的时期从 1987 ~ 2006 持续了 20 年。在降水可变性的双性人十的摆动在第 20 世纪期间在中国上是明显的。太阳活动和暴烈的爆发两个都是在最后千年期间管理气候可变性的主要 forcings。 | 葛全胜 王绍武 闻新宇 Caiming SHEN 郝志新 | 2007 | Advances in Atmospheric Sciences2007，24，6： | 5 |
| 8 | Fifty years of Quaternary palynology in the Tibetan Plateau显示文摘Quaternary palynology in the Tibetan Plateau(TP)was initiated in the 1960s to meet the needs of economic development in western China.Pollen analysis was conducted for the first time on a 200-m long core of Quaternary lacustrine sediments taken from the main body of the TP in order to study pollen assemblages as well as vegetation and climate changes of glacial(cold)/interglacial(warm)periods.Pollen analysis of alpine snow and ice began at the first scientific expedition to the TP in the 1970s.After the 1980s,a series of international collaborative programs were carried out under Sino-French,Sino-German,Sino-Australian,and Sino-American cooperation,marking the integration of Chinese Quaternary palynology society with the international community.New methods for Quaternary palynology were gradually promoted and applied,changing the vegetational and climatic interpretation of Quaternary palynology from qualitative to quantitative.Since the 1990s,many palynologists have carried out extensive Quaternary palynological studies on fossil pollen sites of more than 60 lakes/sections and alpine glaciers in the TP to discuss the spatiotemporal vegetation changes and climatic and environmental evolution of the TP since the Pleistocene.Over the past half-century,Quaternary palynology in the TP has contributed to the establishment of the Chinese Quaternary pollen database and the study of vegetation and climate evolution since the Last Glacial Maximum(LGM)in the TP.Currently available pollen records revealed the spatial and temporal distribution of vegetation in the TP since the LGM,exhibiting expansions and shrinkages of forest,meadow,grassland and desert in different periods such as the LGM,the last deglaciation,and Holocene optimum period.The paleomonsoon reflected by paleovegetation since the LGM has undergone the changes of weak-strengthening-strong-weakening but still active-shrinking,which is mainly affected by solar insolation. | Lingyu TANG Caiming SHEN Houyuan LU Chuanhai LI Qingfeng MA | 2021 | Science China Earth Sciences2021，64，11： | 3 |
| 9 | Smooth fractal surfaces derived from bicubic rational fractal interpolation functions显示文摘Dear editor,Fractal geometry is an important and active branch of nonlinear science.It has attracted more and more attention[1,2].As an important research field of fractal geometry,fractal interpola- | Fangxun BAO Xunxiang YAO Qinghua SUN Yunfeng ZHANG Caiming ZHANG | 2018 | Science China(Information Sciences)2018，61，9： | 3 |
| 10 | High-resolution images based on directional fusion of gradient显示文摘This paper proposes a novel method for image magnification by exploiting the property that the intensity of an image varies along the direction of the gradient very quickly. It aims to maintain sharp edges and clear details. The proposed method first calculates the gradient of the low-resolution image by fitting a surface with quadratic polynomial precision. Then,bicubic interpolation is used to obtain initial gradients of the high-resolution(HR) image. The initial gradients are readjusted to find the constrained gradients of the HR image, according to spatial correlations between gradients within a local window. To generate an HR image with high precision, a linear surface weighted by the projection length in the gradient direction is constructed. Each pixel in the HR image is determined by the linear surface. Experimental results demonstrate that our method visually improves the quality of the magnified image. It particularly avoids making jagged edges and bluring during magnification. | Liqiong Wu Yepeng Liu Brekhna Ning Liu Caiming Zhang | 2016 | Computational Visual Media2016，2，1： | 3 |
| 11 | A nonlocal gradient concentration method for image smoothing显示文摘It is challenging to consistently smooth natural images, yet smoothing results determine the quality of a broad range of applications in computer vision. To achieve consistent smoothing, we propose a novel optimization model making use of the redundancy of natural images, by defining a nonlocal concentration regularization term on the gradient. This nonlocal constraint is carefully combined with a gradientsparsity constraint, allowing details throughout the whole image to be removed automatically in a datadriven manner. As variations in gradient between similar patches can be suppressed effectively, the new model has excellent edge preserving, detail removal,and visual consistency properties. Comparisons with state-of-the-art smoothing methods demonstrate the effectiveness of the new method. Several applications,including edge manipulation, image abstraction,detail magnification, and image resizing, show the applicability of the new method. | Qian Liu Caiming Zhang Qiang Guo Yuanfeng Zhou | 2015 | Computational Visual Media2015，1，3： | 2 |
| 12 | Integrated Polarity Optimization of MPRM Circuits Based on Improved Multi-objective Particle Swarm Optimization显示文摘Aiming at the multi-objective polarity design of Mixed-polarity Reed-Muller(MPRM)circuit,such as small area and low power consumption,an integrated polarity optimization scheme based on improved Multi-objective particle swarm optimization(MOPSO)is proposed.In the Improved MOPSO(IMOPSO)algorithm,particles in the external archive can be actively evolved through self-learning operations to find better circuit polarity.The particles in the population achieve selflearning fractals by comparing the differences between their own states and individuals in external archive to enhance the evolutionary level of the population.A multiobjec tive decision model of area and power consumption is established according to the characteristics of MPRM circuit.The tabular technique and the IMPOPO algorithm are combined to obtain the Pare to optimal polarity set of the MPRM circuit for area and power consumption.The MCNC Benchmark circuit is used to test the performance of the algorithm.The results verify the effectiveness of the proposed algorithm. | FU Qiang WANG Pengjun TONG Nan WANG Mingbo ZHONG Caiming | 2020 | Chinese Journal of Electronics2020，29，5： | 2 |
| 13 | Kernel-blending connection approximated by a neural network for image classification显示文摘This paper proposes a kernel-blending connection approximated by a neural network(KBNN)for image classification.A kernel mapping connection structure,guaranteed by the function approximation theorem,is devised to blend feature extraction and feature classification through neural network learning.First,a feature extractor learns features from the raw images.Next,an automatically constructed kernel mapping connection maps the feature vectors into a feature space.Finally,a linear classifier is used as an output layer of the neural network to provide classification results.Furthermore,a novel loss function involving a cross-entropy loss and a hinge loss is proposed to improve the generalizability of the neural network.Experimental results on three well-known image datasets illustrate that the proposed method has good classification accuracy and generalizability. | Xinxin Liu Yunfeng Zhang Fangxun Bao Kai Shao Ziyi Sun Caiming Zhang | 2020 | Computational Visual Media2020，6，4： | 2 |
| 14 | Improved fuzzy clustering for image segmentation based on a low-rank prior显示文摘Image segmentation is a basic problem in medical image analysis and useful for disease diagnosis.However,the complexity of medical images makes image segmentation difficult.In recent decades,fuzzy clustering algorithms have been preferred due to their simplicity and efficiency.However,they are sensitive to noise.To solve this problem,many algorithms using non-local information have been proposed,which perform well but are inefficient.This paper proposes an improved fuzzy clustering algorithm utilizing nonlocal self-similarity and a low-rank prior for image segmentation.Firstly,cluster centers are initialized based on peak detection.Then,a pixel correlation model between corresponding pixels is constructed,and similar pixel sets are retrieved.To improve efficiency and robustness,the proposed algorithm uses a novel objective function combining non-local information and a low-rank prior.Experiments on synthetic images and medical images illustrate that the algorithm can improve efficiency greatly while achieving satisfactory results. | Xiaofeng Zhang Hua Wang Yan Zhang Xin Gao Gang Wang Caiming Zhang | 2021 | Computational Visual Media2021，7，4： | 2 |
| 15 | Brief review of image denoising techniques显示文摘With the explosion in the number of digital images taken every day,the demand for more accurate and visually pleasing images is increasing.However,the images captured by modern cameras are inevitably degraded by noise,which leads to deteriorated visual image quality.Therefore,work is required to reduce noise without losing image features(edges,corners,and other sharp structures).So far,researchers have already proposed various methods for decreasing noise.Each method has its own advantages and disadvantages.In this paper,we summarize some important research in the field of image denoising.First,we give the formulation of the image denoising problem,and then we present several image denoising techniques.In addition,we discuss the characteristics of these techniques.Finally,we provide several promising directions for future research. | Linwei Fan Fan Zhang Hui Fan Caiming Zhang | 2019 | Visual Computing for Industry,Biomedicine,and Art2019，2，1： | 2 |
| 16 | Cloud Computing for Network Security Intrusion Detection System显示文摘 | Jin Yang Cilin Wang Caiming Liu Le Yu | 2013 | Journal of Networks2013，，1： | 2 |
| 17 | Occurrence of steroid estrogens, endocrine-disrupting phenols, and acid pharmaeeutieal residues in urban riverine water of the Pearl River Delta,South China 显示文摘 | PENG Xianzhi YU Yiyi TANG Caiming | 2008 | Science of the Total Environment2008，397，123： | 1 |
| 18 | A 1,000-Year History of Typhoon Landfalls in Guangdong, Southern China, Reconstructed from Chinese Historical Documentary Records显示文摘 | Kam-biu Liu Caiming Shen Kin-sheun Louie | 2001 | Annals of the Association of American Geographers2001，，3： | 1 |
| 19 | Fairing spline curves and surfaces by minimizing energy显示文摘 | Zhang Caiming Zhang Pifu Cheng Fuhua | 2001 | Computer- Aided Design2001，33，13： | 1 |
| 20 | Frequent inactivation of PTEN/MMACI in primany prostate cancer显示文摘 | Caims P Okami K Halachmi S | 1997 | Cancer1997，57，： | 1 |
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