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IEEE International Conference on Progress in Informatics and Computing (PIC)

作者： Xiaobo Zhang Xiangchu Feng Institute of Graphics and Image Processing Xianyang Normal University Xianyang China Department of Mathematics Xidian University Xi'an China

ISBN: (纸本)9781479920327

This paper presents a new nonlinear diffusion method to address the problem of noise removal. In the method, the diffusion function is based on gradient detection. The local window in the square gradient domain is used to extract the gradient information accurately. The tests demonstrate the proposed method gets the best results both subjectively and objectively compared to the related gradient domain algorithms.

关键词： Manganese image denoising image edge detection Noise reduction Noise measurement PSNR

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Technical foundation and calibration methods for time-of-flight cameras

Technical foundation and calibration methods for time-of-fli...

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Dagstuhl 2012 Seminar on Time-of-Flight Imaging: Sensors, Algorithms, and Applications and Workshop on Imaging New Modalities, Held at the German Conference on Pattern Recognition, GCPR2013

作者： Lefloch, Damien Nair, Rahul Lenzen, Frank Schäfer, Henrik Streeter, Lee Cree, Michael J. Koch, Reinhard Kolb, Andreas Computer Graphics Group University of Siegen Germany Heidelberg Collaboratory for Image Processing University of Heidelberg Germany Intel Visual Computing Institute Saarland University Germany University of Waikato New Zealand Multimedia Information Processing University of Kiel Germany

ISBN: (纸本)9783642449635

Current Time-of-Flight approaches mainly incorporate an continuous wave intensity modulation approach. The phase reconstruction is performed using multiple phase images with different phase shifts which is equivalent to sampling the inherent correlation function at different locations. This active imaging approach delivers a very specific set of influences, on the signal processing side as well as on the optical side, which all have an effect on the resulting depth quality. Applying ToF information in real application therefore requires to tackle these effects in terms of specific calibration approaches. This survey gives an overview over the current state of the art in ToF sensor calibration. © Springer-Verlag 2013.

关键词： Calibration

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Isoptics of Bézier curves

Isoptics of Bézier curves

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作者： Kunkli, Roland Papp, Ildikó Hoffmann, Miklós Dept. of Computer Graphics and Image Processing University of Debrecen H-4010 Debrecen Hungary Institute of Mathematics and Computer Science Károly Eszterházy University H-3300 Eger Hungary

Given a planar curve s(t), the locus of those points from which the curve can be seen under a fixed angle is called isoptic curve of s(t). Isoptics are well-known and widely studied, especially for some classical curves such as e.g. conics (Loria, 1911). They can theoretically be computed for a large class of parametric curves by the help of their support functions or by direct computation based on the definition, but unfortunately these computations are extremely complicated even for simple curves. Our purpose is to describe the isoptics of those curves which are still frequently used in geometric modeling - the Bézier curves. It turns out that for low degree Bézier curves the direct computation is possible, but already for degree 4 or 5 the formulas are getting too complicated even for computer algebra systems. Thus we provide a new way to solve the problem, proving some geometric relations of the curve and their isoptics, and computing the isoptics as the envelope of envelopes of families of isoptic circles over the chords of the curve. © 2012 Elsevier B.V.

关键词： Algebra

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Human object extraction using nonextensive fuzzy entropy and chaos differential evolution

International Journal of Signal Processing, Image Processing...

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International Journal of Signal processing, image processing and Pattern Recognition 2013年第2期6卷 43-54页

作者： Nie, Fangyan Li, Jianqi Rong, Qiusheng Pan, Meisen Zhang, Fen Institute of Graphics and Image Processing Technology College of Computer Science and Technology Hunan University of Arts and Science China

Human object extraction from infrared image has broad applications, and has become an active research area in image processing community. Combined with chaos differential evolution (CDE) algorithm and morphological operators, a novel infrared human target extraction method is proposed based on nonextensive fuzzy entropy. Firstly, the image was transformed into a fuzzy domain by fuzzy membership function, and the image nonextensive fuzzy entropy was constructed. Then, the image was segmented by thresholding based on the maximum entropy principle and the pseudoadditivity rule of nonextensive entropy. In order to reduce the search time of optimal threshold selection, the CDE algorithm was presented. Finally, the object was extracted using morphological operators to denoise, fill cavity on the threshold segmented image. Experimental results show that the proposed method is efficient and requires less computation time.

关键词： Evolutionary algorithms

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Fuzzy partition and correlation for image segmentation with differential evolution

IAENG International Journal of Computer Science

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IAENG International Journal of Computer Science 2013年第3期40卷 164-172页

作者： Nie, Fangyan Zhang, Pingfeng Institute of Graphics and Image Processing Technology Hunan University of Arts and Science Changde 415000 China College of Computer Science and Technology Hunan University of Arts and Science Changde 415000 China

Thresholding-based techniques have been widely used in image segmentation. The selection of appropriate threshold is a very significant issue for image thresholding. In this paper, a new image histogram thresholding method based on fuzzy partition and maximum correlation criterion is presented. In the proposed approach, the regions, i.e. object and background, are considered ambiguous in nature, and hence the regions are transformed into fuzzy domain with membership functions. Then, the fuzzy correlations about regions are constructed and the optimal threshold is determined by searching an optimal parameter combination of the membership functions such that the correlation of the fuzzy partitions is maximized. Since the exhaustive search for all fuzzy parameter combinations is too costly, the differential evolution algorithm is introduced into fuzzy correlation image segmentation to solve this optimal problem adaptively. Experimental results on general images and infrared images demonstrate the effectiveness of the proposed method.

关键词： image segmentation

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Classification of gothic and baroque architectural elements

Classification of gothic and baroque architectural elements

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2012 19th International Conference on Systems, Signals and image processing, IWSSIP 2012

作者： Shalunts, Gayane Haxhimusa, Yll Sablatnig, Robert Institute of Computer Aided Automation Computer Vision Lab. Vienna University of Technology Austria Institute of Computer Graphics and Algorithms Pattern Recognition and Image Processing Lab. Vienna University of Technology Austria

ISBN: (纸本)9783200023284

Architectural elements are the components and details of buildings. Their unique set, combination, design, construction technique form the architectural style of buildings. Building facade classification by architectural styles is viewed as a task of classifying separate architectural structural elements. In the scope of building facade architectural style classification the current paper targets the problem of classification of Gothic and Baroque architectural elements called tracery, pediment and balustrade. Since certain gradient directions dominate on the shape of each architectural element, discrimination between dominating gradients means classification of architectural elements and thus architectural styles. We use local features to describe gradient directions. Our approach is based on clustering and learning of local features and yields a high classification rate. © 2012 institute of Telecommunica.

关键词： Classification (of information)

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image multilevel thresholding using EM and de based on generalized Gaussian mixture model

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ICIC Express Letters, Part B: Applications 2012年第2期3卷 305-312页

作者： Nie, Fangyan Zhang, Pingfeng Pan, Meisen Rong, Qiusheng Institute of Graphics and Image Processing Technology College of Computer Science and Technology Hunan University of Arts and Science No. 170 Dongting Road Changde 415000 China

A novel optimal multilevel thresholding for histogram-based image segmentation is presented in this paper. It is based on the estimation of the statistical parameters of different classes under the assumption that these classes follow generalized Gaussian distribution mixture model. To fit the generalized Gaussian mixture to the histogram of image, the expectation maximization (EM) and a modified differential evolution (DE) hybrid algorithm is developed to estimate the number of generalized Gaussian mixture of such histogram and their corresponding parameterization. The performance of the proposed algorithm is evaluated vis-à-vis Otsu method and EM based on Gaussian distribution method. The experimental results show the effectiveness of the proposed method. © 2012 ICIC International.

关键词： image segmentation

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Classification of gothic and baroque architectural elements

Classification of gothic and baroque architectural elements

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International Conference on Systems, Signals and image processing, IWSSIP

作者： Gayane Shalunts Yll Haxhimusa Robert Sablatnig Institute of Computer Aided Automation Computer Vision Laboratory University of Technology Vienna Austria Institute of Computer Graphics and Algorithms Pattern Recognition and Image Processing Lab University of Technology Vienna Austria

关键词： Shape Three dimensional displays Visualization Computer vision Histograms Windows

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Improved cross-media relevance model for automatic image annotation

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ICIC Express Letters, Part B: Applications 2012年第5期3卷 1231-1237页

作者： Song, Haiyu Li, Xiongfei Wang, Pengjie Bao, Cuizhu Liu, Yongkui Xu, Lu Institute of Computer Graphics and Image Processing Dalian Nationalities University No. 18 Liaohe Road Economic and Technological Development Zone-Dalian 116600 China Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Jilin University No. 2699 Qianjin Avenue Changchun 130012 China

Automatic image annotation has been an active research topic in the last decade due to its potentially large impact on image retrieval, object recognition and image understanding. Many approaches have been proposed for image annotation in recent years. The most influential annotation model is relevance model, whose representative algorithm is Cross-Media Relevance Model (CMRM). In this paper, to overcome the shortcomings of the original CMRM, we propose improved CMRM. In the improved CMRM, the annotation word distribution is estimated using binary probability, the significance of blob is discriminately depicted using TF-IDF (term frequency-inverse document frequency) schemes, and the similarity measurement of blob is based on blob and continuousvalued feature vector. The experimental results on the standard Corel5K dataset show that our proposed approach outperforms the original CMRM by about 111% and 73% in terms of F1 and N+ measures respectively. The improved CMRM can get better performance in specific domains such as cultural heritage and special necessities digitization for ethnic minorities. © 2012 ICIC International.

关键词： image retrieval

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A MPEG2 video watermarking algorithm based on DCT domain

A MPEG2 video watermarking algorithm based on DCT domain

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International Workshop on Digital Media and Digital Content Management, DMDCM 2011

作者： Jianfeng, Lu Zhenhua, Yang Fan, Yang Li, Li Institute of Computer Graphics and Image Processing Hangzhou Dianzi University Hangzhou China

ISBN: (纸本)9780769544137

Video watermarking plays an important role intoday's copyright protection of video media, in this paper a blind watermarking algorithm for mpeg2 video is proposed. In this algorithm, several DCT intermediate frequency coefficients of the video pictures are selected and divided into some groups, the watermark was embedded into the video pictures by adjusting the intermediate frequency coefficients in each group. The watermark capacity of this algorithm is adequate and experimental result shows the proposed algorithm is robust to video compression attack within a certain range and has little effect on the quality of the video. © 2011 IEEE.

关键词： image compression

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