Polygonal Approximation and Scale-Space Analysis of Closed Digital Curves

Polygonal Approximation and Scale-Space Analysis of Closed Digital Curves PDF Author: Kumar S. Ray
Publisher: CRC Press
ISBN: 1926895339
Category : Mathematics
Languages : en
Pages : 390

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Book Description
This book covers the most important topics in the area of pattern recognition, object recognition, computer vision, robot vision, medical computing, computational geometry, and bioinformatics systems. Students and researchers will find a comprehensive treatment of polygonal approximation and its real life applications. The book not only explains the theoretical aspects but also presents applications with detailed design parameters. The systematic development of the concept of polygonal approximation of digital curves and its scale-space analysis are useful and attractive to scholars in many fields. Development for different algorithms of polygonal approximation and scale-space analysis and several experimental results with comparative study for measuring the performance of the algorithms are extremely useful for theoretical- and application-oriented works in the above-mentioned areas.

Polygonal Approximation and Scale-Space Analysis of Closed Digital Curves

Polygonal Approximation and Scale-Space Analysis of Closed Digital Curves PDF Author: Kumar S. Ray
Publisher: CRC Press
ISBN: 1926895339
Category : Mathematics
Languages : en
Pages : 390

Get Book Here

Book Description
This book covers the most important topics in the area of pattern recognition, object recognition, computer vision, robot vision, medical computing, computational geometry, and bioinformatics systems. Students and researchers will find a comprehensive treatment of polygonal approximation and its real life applications. The book not only explains the theoretical aspects but also presents applications with detailed design parameters. The systematic development of the concept of polygonal approximation of digital curves and its scale-space analysis are useful and attractive to scholars in many fields. Development for different algorithms of polygonal approximation and scale-space analysis and several experimental results with comparative study for measuring the performance of the algorithms are extremely useful for theoretical- and application-oriented works in the above-mentioned areas.

Algorithmic Foundation of Multi-Scale Spatial Representation

Algorithmic Foundation of Multi-Scale Spatial Representation PDF Author: Zhilin Li
Publisher: CRC Press
ISBN:
Category : Mathematics
Languages : en
Pages : 316

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Book Description
With the widespread use of GIS, multi-scale representation has become an important issue in the realm of spatial data handling. Focusing on geometric transformations, this resource presents comprehensive coverage of the low-level algorithms available for the multi-scale representations of different types of spatial features, including point clusters, individual lines, a class of lines, individual areas, and a class of areas. It also discusses algorithms for multi-scale representation of 3-D surfaces and 3-D features. Containing over 250 illustrations to supplement the discussion, the book provides the most recent research results, such as raster-based work, algorithm improvements, snakes, wavelets, and empirical mode decomposition.

Polygonal Approximation of Digital Curves Using the State-of-the-art Metaheuristics

Polygonal Approximation of Digital Curves Using the State-of-the-art Metaheuristics PDF Author: Peng-Yeng Yin
Publisher:
ISBN: 9783902613059
Category :
Languages : en
Pages :

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Book Description
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 benchmark curves have manifested that these new features can improve the performance of metaheuristics in solving the polygonal approximation problem.

Proceedings of the National Science Council, Republic of China

Proceedings of the National Science Council, Republic of China PDF Author:
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 454

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Document Image Analysis

Document Image Analysis PDF Author: Lawrence O'Gorman
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN:
Category : Computers
Languages : en
Pages : 542

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Electrical & Electronics Abstracts

Electrical & Electronics Abstracts PDF Author:
Publisher:
ISBN:
Category : Electrical engineering
Languages : en
Pages : 1948

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Proceedings of the ... SICE Annual Conference

Proceedings of the ... SICE Annual Conference PDF Author: Keisoku Jidō Seigyo Gakkai (Japan). Gakujutsu Kōenkai
Publisher:
ISBN:
Category : Adaptive control systems
Languages : en
Pages : 480

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Vision Geometry

Vision Geometry PDF Author:
Publisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 454

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Proceedings of the First International Conference on Massively Parallel Computing Systems (MPCS), May 2-6, 1994, Ischia, Italy

Proceedings of the First International Conference on Massively Parallel Computing Systems (MPCS), May 2-6, 1994, Ischia, Italy PDF Author:
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 680

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Proceedings

Proceedings PDF Author:
Publisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 764

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