New results in modelling derived from Bayesian filtering

Pozna, Claudiu; Precup, Radu‐Emil; Tar, József K.; Škrjanc, Igor; Preitl, Ștefan

doi:10.1016/j.knosys.2009.11.015

Cited by 71 publications

(27 citation statements)

References 49 publications

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“…Image processing is an integral part of machine learning and artificial intelligence, where there are classifiers and neural network models that can be used as in [27], [28]. Also, the mathematical models presented in [29], [30] provide ideas for improving the algorithms for estimating image complexity used in this paper.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Edge Detection on Compressed Images with Different Complexities

Maksimovic¹,

Jakšić²,

Petrović³

et al. 2020

ACTA POLYTECH HUNG

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This paper provides edge detection analysis on images, which consist of different numbers of details (small, medium and high number of details) and which are compressed by different compression algorithms -JPEG, JPEG2000 and SPIHT. Images from the BSD (Berkeley Segmentation Database) database were used and compressed with different number of bits per pixel. The analysis was performed for five edge detectors: Canny, LoG, Sobel, Prewitt, and Roberts. The fidelity of the detected edges was determined using the objective measures Figure of Merit (FOM), F measure and Performance Ratio (PR), where the reference value was taken from the GroundTruth image. Based on the results presented in the tables, it can be concluded that edge detection behaves differently depending on the number of bits per pixel and applied compression algorithm, as well as, the number of details in the image. Roberts operator has been proven to be the best solution, when it is necessary to perform better edge detection over compressed images with small a number of details, but Canny shows better results for images with a high number of details.

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Section: Introductionmentioning

confidence: 99%

Analysis of Edge Detection on Compressed Images with Different Complexities

Maksimovic¹,

Jakšić²,

Petrović³

et al. 2020

ACTA POLYTECH HUNG

View full text Add to dashboard Cite

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“…design of orthogonal signal generators [10], least square approximations [11][12][13], process modelling [14,15], and practical realizations of optimal [11,16] and adaptive systems [17,18]. A c c e p t e d M a n u s c r i p t…”

Section: Introductionmentioning

confidence: 99%

Design of generalised orthogonal filters: application to the modelling of dynamical systems

Nikolić

Antić

Perić

et al. 2015

International Journal of Electronics

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In this article we define a new class of orthogonal filters with complex poles and zeroes inside their transfer function. This further improvement of classical orthogonal filters allows the possibility to model a wider range of real systems, i.e., the systems whose mathematical models have complex zeroes besides real ones. These filters can be applied in the following areas: circuit theory, telecommunications, signal processing, bond graphs, theory approximations, and control system theory First, we describe the rational functions with complex poles and zeroes, and prove their orthogonality. Based on these functions we designed the block diagram of orthogonal Legendre type filter with complex poles and zeroes. After that an appropriate analogue scheme of this filter for practical realization is derived. To validate theoretical results we performed an experiment with a cascade-connected system designed and practically realized in our laboratories. The experiments proved the quality of the designed orthogonal model in terms of accuracy and simplicity.

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“…The second class is related to the information (obtained from sensors) treatment. Several filtering techniques are used such as Kalman filters [1][2][3], Bayesian filters [4][5][6], or particle filters [4,5,7]. Related to the mentioned classes our proposal is related to Bayesian filtering of laser scanner sensors data.…”

Section: Introductionmentioning

confidence: 99%

An abstraction of the Lidar measurements

Pozna

Horváth

Kovács

2015

2015 IEEE 10th Jubilee International Symposium on Applied Computational Intelligence and Informatics

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The laser scanner seems to be one of the favorite sensors used in mobile robots (autonomous car) localization. The Lidar is similar to the radar except radio signals are substituted with laser beams. Measurements are a collection of n lengths obtained for different firing angles. The paper presents an abstraction of this collection. The abstraction reduce the dimensions of data from n to 3 and can be used in obstacles avoiding or in localization. The paper presents the abstraction definition and a simulation scenario where the abstraction is used.

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New results in modelling derived from Bayesian filtering

Cited by 71 publications

References 49 publications

Analysis of Edge Detection on Compressed Images with Different Complexities

Analysis of Edge Detection on Compressed Images with Different Complexities

Design of generalised orthogonal filters: application to the modelling of dynamical systems

An abstraction of the Lidar measurements

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