Traditional paper maps display information following the well-known rules based on experiences gathered during centuries. Nowadays, more and more geospatial information is represented in digital form and we have to fa...
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Traditional paper maps display information following the well-known rules based on experiences gathered during centuries. Nowadays, more and more geospatial information is represented in digital form and we have to face new challenges when trying to find the best solution for the geovisualization. The Hungarian Digital Toponym Registry is developed due to a cross-discipliner collaboration to store, manage, analyze and visualize toponyms. This paper presents some issues concerning the geovisualization with some comments about their cognitive aspects.
Barcode detection is required in a wide range of real-life applications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earli...
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Barcode detection is required in a wide range of real-life applications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we built barcode detectors using morphological operations and uniform partitioning with several approaches and showed their behaviour on a set of test images. In this work, we examine ensemble efficiency of those simple detectors using various aggregation methods. Using a combination of several simple features localization performance improves significantly.
Skeletons are widely used shape descriptors which summarize the general form of binary objects. A technique to obtain skeletons is the thinning, that is an iterative layer-by-layer erosion in a topology-preserving way...
Skeletons are widely used shape descriptors which summarize the general form of binary objects. A technique to obtain skeletons is the thinning, that is an iterative layer-by-layer erosion in a topology-preserving way. Conventional thinning algorithms preserve line endpoints to provide important geometric information relative to the object to be represented. Bertrand and Couprie proposed an alternative strategy by accumulating isthmus points that are line interior points. In this paper we present six new 2D parallel thinning algorithms that are derived from some sufficient conditions for topology preserving reductions and based on isthmus-preservation.
One of the fundamental issues of human and computational cognitive psychology is pattern or shape recognition. Various applications in imageprocessing and computer vision rely on skeleton-like shape features A possib...
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One of the fundamental issues of human and computational cognitive psychology is pattern or shape recognition. Various applications in imageprocessing and computer vision rely on skeleton-like shape features A possible technique for extracting these feautures is thinning. Although the majority of 2D thinning algorithms work on digital pictures sampled on the conventional square grid, the role of some non-conventional grids, like the hexagonal and triangular grid, are of increasing importance as well. In this paper we propose numerous topology preserving parallel thinning algorithms that work on the triangular grid.
A direct approach for parametric estimation of 2D affine deformations between compound shapes is proposed. It provides the result as a least-square solution of a linear system of equations. The basic idea is to fit Ga...
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ISBN:
(纸本)9781424456536;9781424456543
A direct approach for parametric estimation of 2D affine deformations between compound shapes is proposed. It provides the result as a least-square solution of a linear system of equations. The basic idea is to fit Gaussian densities over the objects yielding covariant functions, which preserves the effect of the unknown transformation. Based on these functions, linear equations are constructed by integrating nonlinear functions over appropriate domains. The main advantages are: linear complexity, easy implementation, works without any time consuming optimization or established correspondences. Comparative tests show that it outperforms state-of-the-art methods both in terms of precision, robustness and complexity.
A big part of data around us is in image format and people use these images in many of their decisions. The popularity of an item, in many cases, depends highly on its visual quality. For instance, the shape of a car ...
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A big part of data around us is in image format and people use these images in many of their decisions. The popularity of an item, in many cases, depends highly on its visual quality. For instance, the shape of a car has a significant influence on the attitude of potential customers toward it. Recommender systems try to provide people with recommendations resulted from an automatic process which is aimed at giving the users a better experience working with system, and perhaps improve the system owner's sales. As images are quite important in users' decisions, in this paper we have proposed a method to take images into account when trying to give the user a recommendation, which despite its apparent advantages has not found a fair amount of attention so far.
The reconstruction of binary images from their projections is an important problem in discrete tomography. The main challenge in this task is that in certain cases the projections do not uniquely determine the binary ...
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ISBN:
(纸本)9789531841160;9531841160
The reconstruction of binary images from their projections is an important problem in discrete tomography. The main challenge in this task is that in certain cases the projections do not uniquely determine the binary image. This can yield an extremely large number of (sometimes very different) solutions. Moreover, under certain circumstances the reconstruction becomes NP-hard. A commonly used technique to reduce ambiguity and to avoid intractability is to suppose that the image to be reconstructed arises from a certain class of images having some geometrical properties. This paper studies the reconstruction problem in the class of hv-convex images having their components in so-called decomposable configurations. First, we give a negative result showing that there can be exponentially many images of the above class having the same three projections. Then, we present a heuristic that uses four projections to reconstruct an hv-convex image with decomposable configuration. We also analyze the performance of our heuristic from the viewpoints of accuracy and running time.
In this paper, we present the modeling schemes of a class of Bézier surface with negative Gaussian curvature over the rectangular domain and the triangular domain. We have proved that the surface over the rectang...
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In this paper, we present the modeling schemes of a class of Bézier surface with negative Gaussian curvature over the rectangular domain and the triangular domain. We have proved that the surface over the rectangular domain is fully determined by the control points of the two opposed boundary curves, and the surface over the triangular domain is fully determined by the control points on the first and second layers. In particular, we can control the shape of the surface by the shape parameter, which increases the degree of freedom of surface modeling.
In daily routine the reticulin silver staining is used on bone marrow biopsy samples as a gold standard for the characterization of myelofibrosis, however this method does not provide information about the prefibrotic...
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In daily routine the reticulin silver staining is used on bone marrow biopsy samples as a gold standard for the characterization of myelofibrosis, however this method does not provide information about the prefibrotic stage. Recently a specific immunohistochemical method was introduced which may overcome these weaknesses of reticulin staining. Activated fibroblasts responsible for stromal proliferation are highlighted by increased PDGFR ß expression, which can be presented by immunohistochemistry in bone marrow samples. Using this staining the pre-fibrotic stage can become detectable and we have information about the disease activity. During development of new staining method it is important to prove its reliability and usability. In this paper we introduce a digital imageprocessing method to measure paranchymal damage in digitalized histological slides that can aid correct interpretation of the staining.
An extension of our earlier work is proposed to find a non-linear aligning transformation between a pair of deformable 3D objects. The basic idea is to set up a system of nonlinear equations whose solution directly pr...
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An extension of our earlier work is proposed to find a non-linear aligning transformation between a pair of deformable 3D objects. The basic idea is to set up a system of nonlinear equations whose solution directly provides the parameters of the aligning transformation. Each equation is generated by integrating a nonlinear function over the object's domains. Thus the number of equations is determined by the number of adopted nonlinear functions yielding a flexible mechanism to generate sufficiently many equations. While classical approaches would establish correspondences between the shapes, our method works without landmarks. Experiments with 3D polynomial and thin plate spline deformations confirm the performance of the framework.
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