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A Parallel Framework for Image Segmentation Using Region Based Techniques InTech
Juan C. Pichel; David E. Singh; Francisco F. Rivera.
In this work a parallel framework for image segmentation using region based techniques is presented. The algorithm is based on performing several segmentations of the same image using a parallel region-based algorithm. Moreover these segmentations are also obtained in parallel. This way, our proposal presents a two-level parallel layout. Next, an oversegmented image that collects all the information from the previous segmentations is created. A region-merging algorithm, developed previously by the authors, is then applied to this oversegmented image. A relevant aspect is that the information obtained from the partial segmentations will, in fact, guide the merging process, in such a way that the actual characteristics of each region or pixel are not taken...
Tipo: 5 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/a_parallel_framework_for_image_segmentation_using_region_based_techniques
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A Real-Time Solution to the Image Segmentation Problem: CNN-Movels InTech
Giancarlo Iannizzotto; Pietro Lanzafame; Francesco La Rosa.
In this work we have described a re-formulation of a 2D still-image segmentation algorithm, implemented on a single-layer CNN, previously proposed (Iannizzotto, 2003). This algorithm is able to step-over limitation inherent to the class of active contours: sensitivity to insignificant false edges or "edge fragmentation". The approach features an iterative process of uniform shrinking and deformation of the active contour. Guided by statistical properties of edgeness of the image pixels, the chain adapts itself to the image contours. Undesirable smoothing of the edges of the objects are prevented by the absence of any particular rigidity constraints on the chain. The technique used for uniform shrinking, which automatically handles any splitting, allows the...
Tipo: 6 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/a_real-time_solution_to_the_image_segmentation_problem__cnn-movels
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An Overview of Advances of Pattern Recognition Systems in Computer Vision InTech
Kidiyo Kpalma; Joseph Ronsin.
As mentioned before, pattern recognition does not appear as a new problem. A lot of studies have been performed on this scientific field and a lot of works are currently developed. Pattern recognition is a wide topic in machine learning. It aims to classify a pattern into one of a number of classes. It appears in various fields like psychology, agriculture, computer vision, robotics , biometrics... With technological improvements and growing performances of computer science, its application field has no real limitation. In this context, a challenge consists of finding some suitable description features since commonly, the pattern to be classified must be represented by a set of features characterising it. These features must have discriminative properties:...
Tipo: 10 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/an_overview_of_advances_of_pattern_recognition_systems_in_computer_vision
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Anisotropic Filtering Techniques applied to Fingerprints InTech
Shlomo Greenberg; Daniel Kogan.
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Tipo: 26 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/anisotropic_filtering_techniques_applied_to_fingerprints
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Compression of Spectral Images InTech
Arto Kaarna.
In this section we have collected experiences when different spectral images were compressed in a lossy manner with various methods described in the previous sections. The following abbreviations are used: • CL-W: wavelet transform in the spectral reduction followed by clustering, • CL-P: PCA in the spectral reduction followed by clustering, • WT-3M: the three-dimensional wavelet transform, Chui-Lian multiwavelets (Chui & Lian, 1996), • WT-3H: the three-dimensional wavelet transform, Haar wavelet, • SP-P: PCA in the spectral reduction and SPIHT (Said & Pearlman, 1996) in the spatial dimensions, • JP2K-P: PCA in the spectral reduction and JPEG2000 (Taubman & Marcellin, 2002) in the spatial dimensions, • JPG-P: PCA in the spectral reduction and...
Tipo: 14 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/compression_of_spectral_images
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Computer Vision for Microscopy Applications InTech
Nikita Orlov; Josiah Johnston; Tomasz Macura; Lior Shamir; Ilya Goldberg.
The images in Figure 4 were from Pamela Bradley (NIH). Images in Figure 5 were from Andrew J. Westphal (UC-Berkeley). Images from Figures 6 and 7 were from Catherine A. Wolkow (NIH). Harry Hochheiser wrote the ChainBuilder tool presented in Figure 9. D. Mark Eckley (NIH) helped with editing of this manuscript. This research was supported by the Intramural Research Program of the NIH, National Institute on Aging.
Tipo: 12 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/computer_vision_for_microscopy_applications
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Data Fusion in a Hierarchical Segmentation Context: The Case of Building Roof Description InTech
Frederic Bretar.
We have presented a methodology for extracting roof facets over buildings by merging aerial images and 3D lidar data in a hierarchical segmentation framework. Building roof facets are detected using radiometric, semantic and geometric information of images and of
Tipo: 15 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/data_fusion_in_a_hierarchical_segmentation_context__the_case_of_building_roof_description
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Energy Feature Integration for Motion Segmentation InTech
Raquel Dosil; Xose R. Fdez-Vidal; Xose M. Pardo; Anton Garcia.
In this chapter, a new active model for the segmentation of motion patterns from video sequences has been presented. It employs a motion representation based on composite energy features. It consists on the clustering of elementary band-pass features, which can be considered velocity tuned features. Integration is accomplished by extending the notion of phase congruence to spatio-temporal signals. The active model uses this motion information both for image potential definition and initialization of the model in each frame of the sequence.
Tipo: 1 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/energy_feature_integration_for_motion_segmentation
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Genetic Algorithm for Linear Feature Extraction InTech
Alberto J. Perez Jimenez; Juan Carlos Perez Cortes.
From the results obtained, we can conclude that although NDA obtains good results with non-linear projections in all data sets, similar results can be obtained using GLP in most of them. This indicates to us that, in practice, linear projections can obtain results just as good as non-linear projections in most cases. Even though PCA employs linear projections as well, it performs worse in some data sets probably because it is an unsupervised method. Classical linear, supervised feature extraction methods like LDA have important limitations: first, the number of new features is limited by the number of classes; and second, numerical problems arise when working with high dimensional or small data sets, restricting its use.
Tipo: 22 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/genetic_algorithm_for_linear_feature_extraction
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Genetic Algorithms: Basic Ideas, Variants and Analysis InTech
R. R. Sharapov.
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Tipo: 21 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/genetic_algorithms__basic_ideas__variants_and_analysis
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Green's Functions of Matching Equations: A Unifying Approach for Low-level Vision Problems InTech
Jose R. A. Torreao; Joao L. Fernandes; Marcos S. Amaral; Leonardo Beltrao.
We have reviewed the computer vision applications of Green's functions of image matching equations. Green's functions of both uniform- and affine-matching second-order differential equations have been considered, and we have illustrated their use for the computer vision problems of edge detection, monocular shape estimation, and stereoscopy. The Green's filters considered are essentially point-spread functions which have proven able to model the image-plane projection of a broad class of motions, along with their associated blur effects (Ferreira Jr. et al., 2004). As shown here, such motion modeling capability makes them suitable for a unifying approach to several low-level vision processes, whose full consequences still remain to be explored. This work...
Tipo: 19 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/green_s_functions_of_matching_equations__a_unifying_approach_for_low-level_vision_problems
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Image Matching based on Curvilinear Regions InTech
J. Perez Lorenzo; R. Vazquez Martin; R. Marfil; A. Bandera; F. Sandoval.
This chapter presents a method for image matching which is based on the detection and characterisation of curvilinear regions. In a curvilinear region, the ratio between its average width and its total length should be less than a predefined threshold. Besides, left and right borders should be locally parallel, it should exist a geometric similarity around the region axis and the colour along this axis should be homogeneous. That is, they constitute particular image structures and, therefore, the method is restricted to scenes where these particular items are presented. On the contrary, curvilinear regions automatically deform with changing viewpoint as to keep on covering identical physical parts of a scene. For this reason, they can be used as...
Tipo: 9 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/image_matching_based_on_curvilinear_regions
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Image Similarity based on a Distributional "Metric" for Multivariate Data InTech
Christos Theoharatos; Nikolaos A. Laskaris; George Economou; Spiros Fotopoulos.
An intelligent strategy to visual information similarity is introduced based on the use of the nonparametric multivariate Wald-Wolfowitz statistical test. Our approach relies on a dual segregation-integration algorithmic step. The set of low-level characteristics is extracted in the form of an ensemble of feature-vectors and then `set-differences' are computed between pairs of image representations. The new method is built on firm mathematical concepts, providing us with all the practical advantages of employing a suitable distributional distance. Its intelligent character stems from the fact that by altering the involved visual information, we can modify the flavour of formulated queries. By measuring the performance of the proposed distributional measure...
Tipo: 17 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/image_similarity_based_on_a_distributional__metric__for_multivariate_data
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Manipulative Action Recognition for Human-Robot Interaction InTech
Zhe Li; Sven Wachsmuth; Jannik Fritsch; Gerhard Sagerer.
The recognition of manipulative actions and tasks is an essential component for the natural, pro-active, and non-intrusive interaction between humans and robots. However, most techniques for the recognition of symbolic, interactional or referential gestures cannot be transferred because they ignore the object context and assume an object independent characteristic of the hand trajectory. Other approaches that focus on action recognition either use a pure semantic approach without considering motion models or simplify the trajectory segmentation problem in a pure bottom-up process. The presented approach overcomes several of these deficiencies. The contextual objects are used for a pre-segmentation of the hand trajectory; the manipulative action primitives...
Tipo: 8 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/manipulative_action_recognition_for_human-robot_interaction
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Moving Cast Shadow Detection InTech
Wei Zhang; Q.M. Jonathan Wu; Xiangzhong Fang.
In this chapter, we have provided a brief overview of the works about moving cast shadow detection. The state-of-the-art methods have been categories into color model, textural model, and geometric model according to the information and model utilized, which have been disscussed systemically. Furthermore, all kinds of statistical models have been employed to tackle the problem, which are also analyzed in detail. From the results, we can see that different method is fit for different situation and it is very hard to get a method in common use. Therefore, the future work may be the fusion of different information by statistical model to realize robust shadow detection.
Tipo: 3 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/moving_cast_shadow_detection
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Multimodal Range Image Segmentation InTech
Michal Haindl; Pavel Zid.
We proposed novel fast and accurate range segmentation method based on the combination of range & intensity profile modelling and curve-based region growing. A range profile is modelled using an adaptive simultaneous regression model. The recursive adaptive predictor uses spatial correlation from neighbouring data what results in improved robustness of the algorithm over rigid schemes, which are affected with outliers often present at the boundary of distinct shapes. A parallel implementation of the algorithm is straightforward, every image row and column can be processed independently by its dedicated processor. The region growing step is based on the cubic spline curve model. The algorithm performance is demonstrated on the set of test range images...
Tipo: 2 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/multimodal_range_image_segmentation
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Natural Scene Text Understanding InTech
Celine Mancas Thillou; Bernard Gosselin.
This last section aims at concluding this chapter by summing up main steps in the first part to highlight important points according to us to realize an efficient and versatile NS text understanding and the second parts emphasizes interesting work prolongations in other image processing fields and the focus to give in next years. Our SMC algorithm has been proposed based on a multi-hypothesis text extraction by selecting either the right clustering metric or the dual information between colour and illumination, using log-Gabor filters. Several points have been detailed such as the superiority of metrics over colour spaces in a clustering framework inside a general NS context. Angle-based similarities have overcome any other colour spaces to handle complex...
Tipo: 16 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/natural_scene_text_understanding
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Optimizing Mathematical Morphology for Image Segmentation and Vision-based Path Planning in Robotic Environments InTech
Francisco A. Pujol; Mar Pujol; Ramon Rizo.
In general terms, the path planning process for suitable morphological gradient threshold. To do this, global morphological operators have been used to compute the gradient and the Laplacian and, after a proper binarization, the distance between the ideal segmentation and the MGT segmentation has been computed. As a consequence, the gradient threshold with the lowest distance has been selected as the optimal threshold value. Experimental results show that our model is fast and robust and could be applied for real-time imaging. As a future work, to fully appreciate the implications of incorporating a path planner into a robot system it is necessary to consider a real robot system. The use of simulations can give a good idea of the ability to solve the basic...
Tipo: 7 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/optimizing_mathematical_morphology_for_image_segmentation_and_vision-based_path_planning_in_robotic_
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Polygonal Approximation of Digital Curves Using the State-of-the-art Metaheuristics InTech
Peng-Yeng Yin.
In this chapter, we investigate the polygonal approximation problem which is fundamental to many image analysis tasks. Traditional problem-specific heuristics are not suitable to be applied alone because the quality of the obtained result depends on the initial setting of the algorithms and the properties of the curves. On the other hand, metaheuristic approaches can produce stable approximation quality for various kinds of curves. We have illustrated the implementations based on two newly developed metaheuristics, namely the ACO and the PSO. To circumvent the underlying problem, specific features have been introduced such as the ACO graph representation, PSO genetic operators, penalty functions, and the hybrid strategy. Experimental results on several...
Tipo: 24 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/polygonal_approximation_of_digital_curves_using_the_state-of-the-art_metaheuristics
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Pseudogradient Estimation of Digital Images Interframe Geometrical Deformations InTech
A. G. Tashlinskii.
The considered PGAs can be directly used in various applied problems of image processing. The algorithms of this class can be applied to image processing in the conditions of a priori uncertainty, they assume small computational expenses and do not require the preliminary estimation of the parameters of the image to be studied. The estimates formed through them are immune to impulse interference and converge to optimal values under rather weak conditions. At an unknown set of the parameters of geometrical deformations model PGAs enable to estimate shifts of each node of image sample grid. At a given IIGD model the processing of the image samples can be performed in an arbitrary order, for example, in order of scanning with decimation that is determined by...
Tipo: 25 Palavras-chave: Vision Systems: Segmentation and Pattern Recognition.
Ano: 2007 URL: http://www.intechopen.com/articles/show/title/pseudogradient_estimation_of_digital_images_interframe_geometrical_deformations
Registros recuperados: 27
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