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Segmentation of building facade domes

17th Iberoamerican Congress on Progress in Pattern Recognition, image Analysis, computer vision, and Applications, CIARP 2012

作者： Shalunts, Gayane Haxhimusa, Yll Sablatnig, Robert Vienna University of Technology Computer Vision Lab. Austria Vienna University of Technology Pattern Recongition and Image Processing Lab. Austria

ISBN: (纸本)9783642332746

Domes are architectural structural elements typical for ecclesiastical and secular grand buildings, like churches, mosques, palaces, capitols and city halls. The current paper targets the problem of segmentation of domes within the framework of architectural style classification of building facades. We perform segmentation of building facade domes by combining bilateral symmetry detection, graph-based segmentation approaches and image analysis and processing technics into a single method. Our algorithm achieves good segmentation results on buildings belonging to variety of architectural styles, such as Renaissanse, Neo-Renaissance, Baroque, Neo-Baroque, Neoclassical and Islamic. © 2012 Springer-Verlag.

关键词： Domes

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Colour adjustment and specular removal for non-uniform shape from shading

Colour adjustment and specular removal for non-uniform shape...

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International Conference on Digital image Computing: Techniques and Applications, DICTA 2010

作者： Zhang, Xiaozheng Gao, Yongsheng Caelli, Terry Biosecurity Group Queensland Research Lab. National ICT Australia Computer Vision and Image Processing Lab. Griffith University Australia

ISBN: (纸本)9780769542713

Surface colour changes and specular reflections are two major problems in 3D modelling using shape-from-shading (SFS). This paper proposes to pre-process the input image for a typical SFS algorithm, so that the resultant image has no colour changes and specular reflection. First, a chromaticity-based specular reflection removal algorithm is applied to achieve a pure diffuse (Lambertian) reflected image. Then, a novel chromaticity-based colour adjustment approach is proposed to generate an image without surface colour changes. The standard SFS algorithms can then be applied successfully onto the processed images to produce plausible 3D models. In experiments, the proposed approach was tested on standard SFS datasets with complex surface colours. The experimental results show it's promising to facilitate SFS algorithms to handle SFS problems with more complex surface properties and illumination conditions. © 2010 IEEE.

关键词： Color

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Biorthogonal wavelet transform based image fusion using absolute maximum fusion rule

Biorthogonal wavelet transform based image fusion using abso...

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2013 IEEE Conference on Information and Communication Technologies, ICT 2013

作者： Prakash, Om Srivastava, Richa Khare, Ashish Image Processing and Computer Vision Lab Department of Electronics and Communication University of Allahabad Allahabad India Centre of Computer Education University of Allahabad Allahabad India

ISBN: (纸本)9781467357586

The objective of image fusion is to combine relevant information from two or more images of the same scene into a single composite image which is more informative and is more suitable for human and machine perception. In recent past, different methods of image fusion have been proposed in literature both in spatial domain and wavelet domain. Spatial domain based methods produce spatial distortions in the fused image. Spatial domain distortion can be well handled by the use of wavelet transform based image fusion methods. In this paper, we propose a pixel-level image fusion scheme using multiresolution Biorthogonal wavelet transform (BWT). Wavelet coefficients at different decomposion levels are fused using absolute maximum fusion rule. Two important properties wavelet symmetry and linear phase of BWT have been exploited for image fusion because they are capable to preserve edge information and hence reducing the distortions in the fused image. The performance of the proposed method have been extensively tested on several pairs of multifocus and multimodal images both free from any noise and in presence of additive white Gaussian noise and compared visually and quantitatively against existing spatial domain methods. Experimental results show that the proposed method improves fusion quality by reducing loss of significant information available in individual images. Fusion factor, entropy and standard deviation are used as quantitative quality measures of the fused image. © 2013 IEEE.

关键词： White noise

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Inpainting in shape from focus: Taking a cue from motion parallax

Inpainting in shape from focus: Taking a cue from motion par...

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2009 20th British Machine vision Conference, BMVC 2009

作者： Sahay, Rajiv R. Rajagopalan, A.N. Image Processing and Computer Vision Lab. Department of Electrical Engineering Indian Institute of Technology Madras Chennai 600 036 India

ISBN: (纸本)1901725391

Shape from focus (SFF) which uses a sequence of space-variantly defocused frames works under the constraint that there is 'no magnification' in the stack. In the presence of sensor damage and/or occlusions, there will be missing data in the observations and SFF cannot recover structure in those regions. In many applications, the capability of filling-in missing data is of critical importance. In this paper, we investigate the effect of motion parallax in SFF and demonstrate the interesting possibility of how it can be judiciously used to jointly inpaint image and depth profiles. When there is relative motion between the 3D specimen and the camera, by virtue of the inherent pixel motion in each of the frames, it is possible to obtain a focused image and depth map of the scene despite missing regions in the observations. © 2009. The copyright of this document resides with its authors.

关键词： Geometrical optics

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Car plate segmentation based on morphological and labeling approach

Car plate segmentation based on morphological and labeling a...

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2011 Computation and Communication Technologies: 3rd International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2011

作者： Mousavi, Seyed Mojtaba Shahdi, Seyed Omid Abu-Bakar, S.A.R. Computer Vision Video and Image Processing Research Lab Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 Skudai Johor Malaysia

ISBN: (纸本)9781629934563

Automatic car plate extraction is one of the interesting research areas in surveillance applications such as traffic control, parking lot and detection of stolen vehicles. This topic is divided in two main parts, firstly license plate localization, and secondly, license plate characters recognition. In this paper merely the first part is taken into consideration by means of morphological operations and labeling algorithm. Moreover, performance of proposed method is investigated to unveil the ability in extracting of the license plate. Space between characters and also height and width of the license plate are fundamental issues in morphological operations along with dimension of characters in labeling algorithm. Results for this method are promising even in tough conditions.

关键词： Edge detection

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Width distributions for shape description

Width distributions for shape description

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2011 International Conference on Digital image Computing: Techniques and Applications, DICTA 2011

作者： Zhang, Xiaozheng Gao, Yongsheng Biosecurity Group Queensland Research Lab. National ICT Australia Australia Computer Vision and Image Processing Lab. Griffith University Australia

ISBN: (纸本)9780769545882

Measuring the similarity between articulated shapes is a fundamental yet challenging problem. This paper proposes a novel shape descriptor based on Width Distributions (WD), which is robust to articulations. We show that the width distributions are articulation insensitive yet descriptive to distinguish different shapes with varied part structures. With measurements on distributions only, the proposed method does not require any alignment between two objects and thus is more robust than correspondence-based measurements. First, the medial axes of the objects are extracted and fitted to B-Splines to remove outliners. The width of the object shape perpendicular to the medial axis can be calculated for each position on the medial axis. The histograms of those widths are compared using chi-square method for similarity. Experiments on standard 2D shape database show that the proposed method performed better than standard shape distribution algorithms and similarly to other articulation-robust shape descriptors, such as inner-distance. The speed of the proposed method is much faster than the more sophisticated inner-distance, as the proposed method is much simpler in nature and requires limited image processing and pattern classification. These results suggested it could be an efficient and effective method to describe and to match articulated shapes. © 2011 IEEE.

关键词： image processing

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Medial axis representation and encoding of scanned documents

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Journal of Visual Communication and image Representation 1991年第2期2卷 151-165页

作者： Brandt, Jonathan W. Jain, Anil K. Ralph Algazi, V. Computer Vision Research Lab CIPIC: The Center for Image Processing and Integrated Computing United States Department of Electrical Engineering and Computer Science University of California Davis CA 95616 United States

The medial axis transform (MAT) is a sparse representation of shape, which, being reversible, has potential for binary image compression. The MAT also provides structural information not accessible with alternative binary image codes. This structural information is often used for line extraction and pattern recognition. Therefore, the MAT occupies an interesting middle ground between lower-level, compressible image codes and higher-level, meaningful image representations. In an attempt to realize this middle ground, a MAT-based coding scheme which respects its structural properties is developed. The MAT-based coding method is applied to the CCITT facsimile test images. The resulting compression is comparable to that of known coding schemes for textual and somewhat better for graphical data. Some simple modifications to improve skeleton coding performance are suggested. To substantiate the claim that the MAT is effective for higher-level processing, the representation is extended to perform line segment and curve extraction. The extraction takes place under the control of a global error tolerance parameter and thus provides a new method to trade off data compression with distortion for binary images. © 1991.

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Variational-based method to extract parametric shapes from images

Variational-based method to extract parametric shapes from i...

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Proceedings - 10th IEEE International Conference on computer vision, ICCV 2005

作者： El-Melegy, Moumen T. Al-Ashwal, Nagi H. Farag, Aly A. Electrical Engineering Department Assiut University Assiut 71516 Egypt Computer Vision and Image Processing Lab. University of Louisville KY 40292

ISBN: (纸本)076952334X

In this paper, we propose a variational method to segment image objects, which have a given parametric shape based on a level-set formulation of the Mumford-Shah functional, and the shape parameters. We define an energy functional composed by two complementary terms. The first one detects object boundaries using a Chan-Vese-like method. The second term constrains the contour to find a shape compatible with the parametric shape. The segmentation of the object of interest is given by the minimum of our energy functional. This minimum is computed with the calculus of variation and the gradient descent method that provide a system of evolution equations solved with the well-known level set method. We focus in this paper on the parametric category of image linear objects. Applications of the proposed model are presented on synthetic and real images. © 2005 IEEE.

关键词： image segmentation

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Probabilistic shape-based segmentation using level sets

Probabilistic shape-based segmentation using level sets

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2011 IEEE International Conference on computer vision Workshops, ICCV Workshops 2011

作者： Aslan, Melih S. Abdelmunim, Hossam Farag, Aly A. Computer Vision and Image Processing Lab University of Louisville Louisville KY 40299 United States Computer and Systems Engineering Department Ain Shams University Cairo Egypt

ISBN: (纸本)9781467300629

In this paper, we present a new dynamic and probabilistic shape based segmentation method using statistical and variational approaches. We use two models in this paper: i) intensity and ii) shape. In the first phase, the intensity based segmentation is done using a basic statistical level set method. In the second phase, to which we contribute, the shape model is constructed using the implicit representation of the training shapes. The resulting probability density function is used to embed the shape model into the image domain with a new energy minimization solution. Our method' s invariance to parameter initialization is evaluated through validation, and various synthetic and clinical shape registration examples are implemented. Experiments show that our proposed algorithm enhances the conventional global registration results, overcomes segmentation challenges, and is robust under various noise levels, severe occlusions, and missing parts. © 2011 IEEE.

关键词： Probability density function

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Static human behavior classification based on LLC features and GIST features 7

Static human behavior classification based on LLC features a...

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7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017

作者： Ende, Wang Xukui, Hou Xuepeng, Li Shenyang Institute of Automation Chinese Academic of Sciences Key Lab of Image Understanding and Computer Vision Key Laboratory of Optical Electrical Image Processing Shenhe District Shenyang Liaoning China

ISBN: (纸本)9781538604892

This paper presents a method for recognizing human behavior in static images based on LLC and GIST features. The feature points in the image is densely located in sub-region of images and we extract SIFT feature from each sub-region. Then using the LLC method to encode the extracted dense SIFT features of each sub-region and each feature point descriptor is assigned to several nearest words, so that each descriptor can be expressed by the linear correlation coefficient of vocabulary. In order to increase the spatial information, we use the SPM model to divide the image into many blocks under different levels. We can get the pooled feature from each sub-region using the max pooling method. Then these pooled features from sub-region are concatenated and normalized as the final pooled features. In order to get GIST features, we divide the image into blocks and construct the Gabor filter group of 32 different scales and directions. Then each Gabor filter in the Gabor filter group does convolution operation with image blocks and we take the mean value of each blocks under each Gabor filter as the feature description. The features from each block under each Gabor filter are concatenated and normalized as the final GIST feature representation of the image. Then concatenating the final pooled features and the GIST features and take as the final feature representation. Finally, the intersection kernel function of SVM is used for classification. We performed experiments on several databases. By contrast, this algorithm has a good effect in accuracy and efficiency. © 2017 IEEE.

关键词： Gabor filters

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