
Radek HolotaUniversity of West Bohemia · Department of Applied Electronics and Telecommunications
Radek Holota
Doctor of Engineering
About
17
Publications
1,275
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
44
Citations
Introduction
Research Experience
January 2001 - present
University of West Bohemia
Position
- academic assistant
Description
- Analogue Electronic Systems, Electronic Systems, Fundamentals of Electronics, Electronics in Image Processing
January 2001 - present
University of West Bohemia
Position
- academic assistant
Publications
Publications (17)
This paper documents the results obtainable when either networks of n-tuple (NT) logic nodes or Min/Max (MM) nodes are used to recognize monochrome and color images. Networks of n-tuple nodes are based upon the n-tuple methodology originated by Bledsoe and Browning. Networks of Min/Max nodes employ similar techniques but are capable of directly pro...
This paper deals with the design and the implementation of an image recognition system based on FPGA devices. It explores an n-tuple methodology using node ‘grouping’ and the possible advantages offered by this little-known technique. The paper is based on the implementation of this concept by an FPGA device. A novel approach to the organization of...
Based upon the n-tuple methodology originated by Bledsoe and Browning, this paper outlines the benefits obtained by using grouped n-tuple nodes to enhance the pattern selectivity of single-layer n-tuple networks. The principles of the n-tuple and grouped node techniques are outlined and comparative results are presented. From the documented results...
An image recognition system can be based on a single-layer neural network composed of Min/Max nodes. This principle is easy to use for greyscale images. However, this article deals with the possibilities of utilising neural nets for colour image recognition. Several principles are demonstrated and tested by recently developed software. A new modifi...
Based upon the n-tuple methodology originated by Bledsoe and Browning, this paper outlines the benefits obtained by using grouped n-tuple nodes to enhance the pattern selectivity of single-layer n-tuple networks. The principles of the n-tuple and grouped node techniques are outlined and comparative results are presented. From the documented results...
This article deals with a neural network based on Min/Max nodes and its utilisation for image recognition purposes. The general concepts of the Min/Max nodes and the single-layer neural networks are outlined. The developed software systems for simulation are briefly introduced and the results of simulations with the various settings of a neural net...
In this paper is outlined new automatic geometry adjustment system for CRT TV. The selected and used hardware methods for geometry adjustment and the project status are described.
This article deals with a method of image recognition based on neural networks composed of MIN/MAX nodes. The general concepts of the MIN/MAX nodes and the neural networks are outlined. The developed software system is then briefly introduced. Finally, the design of the neural networks in VHDL (VHSIC Hardware Description Language) is presented.
The aim of our work was to prepare part of the input data for a computational biomechanicalmodel of both the active and passive elements of the tunica media of an aortic aneurysm. Weanalyzed tissue samples of the anterior wall of the normal, atherosclerotic and aneurysmatic subrenalabdominal aorta. We assessed the proportions of smooth muscle cells...
Oriented structures in metallography are usually evaluated by the intersection method or on the base of comparison against a series of standard micrographs. In this paper is introduced a new method for assessment of structures formed by elongated grains using the Fourier transform technique: The image is transformed into reciprocal (Fourier) space...
The task of pattern recognition can be greatly facilitated if position, rotation and size normalisation are incorporated within the pre-processing stage. Having obtained the required normalisation, then either feature extraction, template matching, artificial neural network systems or n-tuple logic node techniques may be used for object recognition...
This paper deals with new methods for recognition of oriented structures based on 2D Fourier Transform. Their principles are described and the possibilities of utilization in metallography are outlined.
This article deals with a design of CAN bus analyser. For this purpose the design with utilisation of Field Programmable Gate Arrays (FPGAs) is used. A system structure consisted of basic blocks is introduced and the blocks are described. For the structure description is used VHDL (VHSIC Hardware Description Language).
This paper outlines the general concepts of the use of networks of 'trixel' 'n-tuple and 'Min/Max'node techniques for the recognition of coloured images.The developed software system, which also includes the options for position, size and rotation normalisation, is briefly described. Finally, some results are presented which illustrate the performa...
Abstrakt Tento článek se zabývá základními principy a postupy zpracování obrazu. Popisuje posloupnost základních kroků zpracování obrazu od jeho pořízení až po klasifikaci objektů obsažených v obraze. Podrobněji se zabývá problematikou digitalizace obrazu. Zpracování obrazu Vlastní průběh zpracování a rozpoznávání obrazu reálného světa obvykle rozd...
























