A new characterization of three-dimensional simple points is presented. Unlike previous characterizations, it does not need the calculation of the genus or the number of holes. It only needs the computation of two num...
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A new characterization of three-dimensional simple points is presented. Unlike previous characterizations, it does not need the calculation of the genus or the number of holes. It only needs the computation of two numbers of connected components in the neighborhood of the considered point. The proof of the validity of the characterization is given.
Compared with far-developed measures and methods for mono-specific forest stands, the silvicultural prescriptions for mixed-species stands are at their early beginning. However, they are essential for the well-conceiv...
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Compared with far-developed measures and methods for mono-specific forest stands, the silvicultural prescriptions for mixed-species stands are at their early beginning. However, they are essential for the well-conceived establishment, design, and control of mixed-species stands, currently promoted in many countries worldwide. Here, we review the state of the art and we further develop silvicultural prescriptions for mixed-species stands for steering of experiments, stand modeling, and silviculture. We review which aspects of tree species mixing are most relevant for management goal achievement. We found the maintenance of species diversity and structural heterogeneity for ecological purpose, stabilizing productivity, and social-economic performance as main objectives. We give an overview of quantitatively formulated silvicultural prescriptions for steering mixed-species stands for forest practice, long-term experiments, forest stand models. Compared with the sophisticated guidelines for mono-specific stands, prescriptions for mixed stand are often mainly qualitative and vague. Then, we introduce methodological approaches in development for steering mixture: measures for spatial and temporal separation, species-specific growing space requirements for crop trees, coefficients for equivalence and density modification, and basic relationships for steering tree number and area-based mixing proportions. Finally, we draw conclusions for further development of methodological approaches for silvicultural steering of experiments, implementation in stand simulators, and for silvicultural operations. We see the need for improving the quantitative spatially explicit rules based at tree or cohort level, for substantiating the knowledge on species-specific allometry, growing area, tree-to-tree distances, and position-dependent competition indices for steering tree removal. We discuss the prospects and limitations of establishing silvicultural prescriptions for mixed-species stands
Removal operations play a crucial role in most algorithms which transform digital figures into stick-like ones. In this note, digital points that are candidates to deletion are examined and a necessary and sufficient ...
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Removal operations play a crucial role in most algorithms which transform digital figures into stick-like ones. In this note, digital points that are candidates to deletion are examined and a necessary and sufficient condition for their removal is given. Operationen zur Tilgung von Bildpunkten spielen eine wichtige Rolle in den meisten Algorithmen, die Digitalbilder auf ihr Skelett reduzieren. In dieser werden Kriterien zur Tilgung von Bildpunkten untersucht. Eine notwendige und hinreichende Bedingung für ihre Tilgung wird vorgestellt. Les opérations d'éffacement sont trés importantes dans les algorithmes qui réduisent les images numérisées à leurs squelettes. Dans cette communication, nous examinons les points qui peuvent être effacés et nous presentons une condition necessaire et suffisante qui permet de faire des simples opérations d'éffacement.
The concept of a simple point is well known in digital topology: a black point in a binary picture is called a simple point if its deletion preserves topology. This paper introduces the notion of a simplifier point: a...
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ISBN:
(纸本)9783319591087;9783319591070
The concept of a simple point is well known in digital topology: a black point in a binary picture is called a simple point if its deletion preserves topology. This paper introduces the notion of a simplifier point: a black point in a binary picture is simplifier if it is simple, and its deletion turns a non-simple border point into simple. We show that simplifier points are line end points for both (8, 4) and (4, 8) pictures on the square grid. Our result makes efficient implementation of endpoint-based topology-preserving 2D thinning algorithms possible.
Among the many handwritten character recognition algorithms that have been proposed, few of them use models which are able to simulate handwriting. This can be explained by the fact that simulations require the estima...
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ISBN:
(纸本)0819433020
Among the many handwritten character recognition algorithms that have been proposed, few of them use models which are able to simulate handwriting. This can be explained by the fact that simulations require the estimation of strokes starting from statistic images of letters, while crossing and overlapping strokes make this estimation difficult. In this paper an algorithm to extract overlapping strokes that optimizes the reconstruction of crossings of the image is describes, and a stochastic model of off-line handwritten letter deformation for handwritten letter recognition is presented.
It is important and interesting thing to recognize the atomic structure of graphite by processing graphite STM images, which is useful to automatically give the hexagonal topology structure during in-situ STM scanning...
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It is important and interesting thing to recognize the atomic structure of graphite by processing graphite STM images, which is useful to automatically give the hexagonal topology structure during in-situ STM scanning of graphite. In this paper, we report some digital image processing algorithm applications on the recognition of atomic structure of graphite. At last, we also write the software with c(++) codes, which applying the digital image processing algorithms. And from the result of processing a typical STM image of graphite, we can clearly see graphite hexagon structure.
Topology preservation is a crucial issue in parallel reductions that transform binary pictures by changing only a set of black points to white at a time. In this paper, we present sufficient conditions for topology-pr...
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Topology preservation is a crucial issue in parallel reductions that transform binary pictures by changing only a set of black points to white at a time. In this paper, we present sufficient conditions for topology-preserving parallel reductions on the three types of pictures of the unconventional 3D face-centered cubic (FCC) grid. Some conditions provide methods of verifying that a given parallel reduction always preserves the topology, and the remaining ones directly provide deletion rules of topology-preserving parallel reductions, and make us possible to generate topologically correct thinning algorithms. We give local characterizations of P-simple points, whose simultaneous deletion preserves the topology, and the relationships among the existing universal sufficient conditions for arbitrary types of binary pictures and our new FCC-specific results are also established.
This paper presents the method of understanding objects that can be considered as thin objects. The proposed method of understanding thin objects is part of the shape understanding method developed by the author. The ...
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This paper presents the method of understanding objects that can be considered as thin objects. The proposed method of understanding thin objects is part of the shape understanding method developed by the author. The main novelty of the presented method is that the process of understanding thin objects is related to the visual concept represented as a symbolic name of the possible class of shapes. The possible classes of shape, viewed as hierarchical structures, are incorporated into the shape model. At each stage of the reasoning process that led to assigning of an examined object to one of the possible classes, novel processing methods are used. These methods are very efficient because they deal with a very specific class of shapes. In this paper, the 2-D objects that are classified as thin objects are regarded as geometrical objects without any reference to the real world objects. However, the shape under standing method is designed to understand an object at many levels of interpretation, such as the topological level, the linguistic level and the real world reference level. This approach influences the way in which the system of shape understanding is designed. The system consists of different types of experts that perform different processing and reasoning tasks.
One of the severe problems in a fingerprint-based system is retaining the fingerprint images. In this paper, we propose a method to minimize the fingerprint images size and retain the reference points. The method is d...
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One of the severe problems in a fingerprint-based system is retaining the fingerprint images. In this paper, we propose a method to minimize the fingerprint images size and retain the reference points. The method is divided into three parts, the first part is about digital image preprocessing that allows us to eliminate the noise, improve the image, convert it into a binary image, detect the skeleton and locate the reference point. The second part concerns the detection of critical points by the Douglas-Peucker method. The final part presents the methodology for the fingerprint curves reconstruction using the fractal interpolation curves. The experimental result shows the accuracy of this reconstruction method. The relative error (ER) is between 2.007% and 5.627% and the mean squared error (MSE) is between 0.126 and 0.009 at a small iterations number. On the other hand, for a greater number of iterations, the ER is between 0.415% and 1.64% and MSE is between 0.000124 and 0.0167. This clearly indicates that the interpolated curves and the original curves are virtually identical and exceedingly close.
A reduction transforms a binary picture only by changing some black points to white ones, which is referred to as deletion. Sequential reductions traverse the black points of a picture, and consider a single point for...
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A reduction transforms a binary picture only by changing some black points to white ones, which is referred to as deletion. Sequential reductions traverse the black points of a picture, and consider a single point for possible deletion, while parallel reductions can delete a set of black points simultaneously. Two reductions are called equivalent if they produce the same result for each input picture. A deletion rule is said to be equivalent if it yields a pair of equivalent parallel and sequential reductions. This paper introduces a class of equivalent deletion rules that allows us to establish a new sufficient condition for topology-preserving parallel reductions in arbitrary binary pictures. In addition we present a method of verifying that a deletion rule given by matching templates is equivalent, a necessary and sufficient condition for order-independent deletion rules, and a sufficient criterion for order-independent and translation-invariant parallel subfield-based algorithms.
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