Anthropogenic situation express monitoring on the base of the fuzzy neural networks

Abstract. This paper presents the algorithm of terrain objects edge detection in GPS images. This objective is relevant for two reasons. Firstly, in case of distortions occurring in the process of data transmission through communication channel, and secondly, in many cases preliminary data processing requires edge detection. To solve the first issue we utilize quasi-2D filtration, and to solve the second we use an algorithm based on Canny edge detection algorithm.

show abstract

“…The most effective method for eliminating this noise is applying median filter (dimensionality of 3x3 [3,4,5]) to the noisy image (7).…”

Section: Xquhvwulfwhg Xvhmentioning

confidence: 99%

Terrain objects edge detection in noisy GPS images

Grinchenko

Baranchikov

Tokarev

2016

ITM Web of Conferences

View full text Add to dashboard Cite

show abstract

“…On the first stage, according to the functional principle, the NPS is seen as a totality of the hardware embodied on the base of the chosen hardware base. Thus here is the choice of the hardware base with the set of commands, productivity and value [9]. The projectable computational structure of the NPS is functioning according to the data processing and data transfer algorithms…”

Section: The Explicit Parallelism Model Of the Nps Choice System Prodmentioning

confidence: 99%

Cluster Parallelism of the Neuroprocessor Systems Based on the Fuzzy Logic

2015

2015 the 5th International Workshop on Computer Science and Engineering-Information Processing and Control Engineering

View full text Add to dashboard Cite

The article is devoted to the development of the neuroprocessor system (NPS) model based on the clustering and the analysis of the obtained fuzzy structures. The production model of explicit and implicit parallelism is suggested. The given model could be used for the intelligent compiler development and for the choice of the optimal technical parameters, such as NPS modules number, the firmware memory volume, the system productivity etc.

show abstract

“…The increased role of vision systems used together with navigation and FA flight parameters and a priori information presented in the form of digital district maps (DDM) together with increased performance of onboard computing means distinguishes the current stage of aviation science and technology development, which is characterized by growing implementation of various management system types [1][2][3] in complex objects the activity of which is related to the analysis of a great number of parameters of constantly changing environment. This characterization fully corresponds to modern aircraft design.…”

Section: Introductionmentioning

confidence: 99%

The research of image segmentation algorithms based on Vilenkin-Crestensen functions

Kostrov

Babaev

Svirina

2016

ITM Web of Conferences

View full text Add to dashboard Cite

The problem of Vilenkin-Crestenson functions (VCF) application to process aerospace images is considered. Theoretical grounds of VCF basis and its construction in the field of m-based numeric systems with operation of inversion by Walsh are discribed. Examples of basic functions system building on the basis ofVCF with different bases and their application to image segmentation are shown. Avdvantages of using image segmentation algorithm based on VCF basis are discribed. Band pass spectrum restriction possibilities to highlight borders and edge the regions of similar density are given. Different forms of VCF spectrum restriction and its combinations with thier impact to image segmentation results are shown. Technical vision system application of sugested algorithm are shown. VCF basis abbility to highlight objects to be used in correlation-extreme navigation systems are shown. The experimental results of using VCF in comparasing with traditional Fourie basis are given.

show abstract

Anthropogenic situation express monitoring on the base of the fuzzy neural networks

Cited by 11 publications

References 2 publications

Terrain objects edge detection in noisy GPS images

Terrain objects edge detection in noisy GPS images

Cluster Parallelism of the Neuroprocessor Systems Based on the Fuzzy Logic

The research of image segmentation algorithms based on Vilenkin-Crestensen functions

Contact Info

Product

Resources

About