Dr.-Ing. Jürgen Abel


 Research Projects




2018 -

Empirical Mode Decomposition (EMD) for stock prices
Development of the Empirical Mode Decomposition (EMD) for technical analysis of stock prices. The EMD calculates the decomposition of the price series into a series of intrinsic mode functions (IMF), which, unlike the classic Fourier transform, does not have a fixed period length, and are thus also suitable for the analysis of nonlinear and non-stationary time series. The residuals of the IMFs are similar to the result of bandpass filters.


2016 -

Feature Engineering Algorithms for Robotics
Development of several feature engineering algorithms for Artificial Intelligence (AI) of robots. The algorithms included image recognition using edge detection, play ground recognition using color calibrations, goal post recognition, ball recognition and self localization. All algorithms are based on image data from a camera.
Development of a robot consisting of a track steering system with micro controller and a Raspberry Pi with camera for taking and analyzing of image data.



Spektral Analysis in Quantum Physics
Measurement of interference patterns of light at the double slit experiment and calculation of frequencies of the interference fringes by using autocorrelation algorithms.


2015 -

Robocup SPL
Development of image processing and computer vision algorithms for the Robocup SPL together with the HTWK University Leipzig (Feature Engineering for Artificial Intelligence (AI) models).

Presentation of a Robocup project for children at Dr. Husam Sultan Al Ulama from the Ministry of Higher Education and Scientific Research in the United Arab Emirates.


2013 -

Hardware RNG
Development of firmware for a random number generator using a microcontroller ATtiny85 and the COM-USB bridge FT232RL.


2004 -

Lecturer at the Technical Academy of Wuppertal, an institute of the Technical University of Aachen (RWTH Aachen), Germany. Teaching classes about Computer Graphics, Medical Image Processing, Data Compression and Object Oriented Programming.


2003 -

Medical Volume Explorer MVE
Development of a image processing system for the medical field in cooperation with the Institute for Clinical Radiology and Nuclear Medicine of Professor Köster in Neuss, Germany. The system has a DICOM/ANALYZE file interface and supports CT, MRT and PET data in 2D and 3D by Direct Volume Rendering.

More information at:


2002 -

Preprocessing Algorithms
Development of several preprocessing schemes for Burrows Wheeler compression of textual data, DNA structures, data bases and programs in cooperation with the University of Wales at Bangor, United Kingdom using DELPHI, C++ and JAVA.

More information at:


2000 -

Data Base Programs for surveys
Researcher at the Institute of Sociology at the Ruhr University Bochum, Germany. Project management for a data base system and statistical analysis of surveys for an industry funded project with VOLKSWAGEN using DELPHI.


1994 -

Simulation of Fuell Cells
Researcher at the Institute for Energy Process Engineering, KFA Jülich, Germany. Development of computer simulations with 80,000 complex variables for admittances and degeneration processes of high temperature fuel cells and ultra capacitors using UNIX, WINDOWS, FORTRAN, C++ and MathCAD.



PETRI Net Editor
Development of a syntax controlled graphical petrinet editor for the Department of Electrical Engineering and Computer Systems at the Technical University of Aachen (RWTH Aachen), Germany, using 8086 Assembler, YACC and TURBO PASCAL.


 Research Interests



Feature Engineering for Robotics

My main focus for current and future research is at the field of robotic vision by developing feature engineering algorithms for Artificial Intelligence (AI) of robots. For the RoboCup I have developed image processing and computer vision algorithms for the Standard Platform League together with the HTWK University Leipzig. Currently I have started a new robot vision project based on a Raspberry Pi computer with a HD camera module. The Raspberry offers a full featured linux platform, which supports many programming languages, and has more computing power than a NAO robot of the RoboCup at the fraction of the price, which is ideal for pupils, students and universities.
The topics of the current algorithms include:
- play ground recognition using color calibrations,
- field recognition using edge detection,
- goal post recognition,
- ball recognition and
- self localization.


Image Processing

In order to produce real time 3D graphics on 6502 and Z80 computers, I developed a 3D graphics library, written in assembler. The system could rotate, scale and translate objects as wire-frames in real time. Later, the system was translated to 68000 systems together with an interface to high level languages. The next level was based on OpenGL and the graphic processing unit (GPU) to produce a wider range of 3D applications.
One of my main research projects is the development of the OpenGL medical visualization system MVE in cooperation with the Radiologist Professor Dr. Köster from the Institute for Clinical Radiology and Nuclear Medicine and the Chief Surgeon Professor Dr. Goretzki from the Municipal Clinic Neuss, Germany. The system is based on Direct Volume Rendering for preoperative surgical planning of lung cancer. In contrast to other medical visualization systems, like virtual colonoscopy for example, the 3D visualization of lung cancer needs to display not only the surface of the tumor but also the surrounding areas since the radiologist and surgeon get important information from the kind of tissue allocated around the tumor. In order to achieve real time frame rates along with good visualization quality, I have opted for a direct volume rendering approach, which uses 3D textures and runs directly on the GPU of the Graphics card by using NVIDIAs Cg language (C for Graphics). As a result, not only the radiologist can visualize the tumor and surrounding tissue by expensive graphics workstations from the CT unit but also the surgeon by a normal PC in conjunction with a modern graphics card based on NVIDIAs GPUs.
The MVE system together with free samples of CT scans, pictures and 3D movies  are free available at my internet pages
http://www.mve.info and http://www.medical-image-processing.info.


Data Compression

In lossless data compression I am involved for many years. For the industry I have developed compression algorithms for real time compression of hard disk data on PCs based on a speed optimised LZ77 derivative. Several versions of my hard disk compression system DOUBLE DENSITY have been presented at the German CeBIT fairs. The systems were sold worldwide in many countries (Germany, USA, United Kingdom, Spain, French, Italy, Mexico e.g.) with more than 100,000 items and had a market share of online compressors of over 30%.
My recent focus in the compression field is concentrated at the Burrows-Wheeler Transform (BWT) along with several preprocessing algorithms, see


Technical Analysis of Financial Data

In the field of technical analysis I have developed many indicators and trading systems using a market model based on the harmonic superposition principle of waves similar to the linear system models of electrical engineering. For a deeper understanding I have developed different algorithms for the spectral analysis of financial data. One analyzer is based on the MESA algorithm of Dr. John Parker Burg, another analyzer is based on the Goertzel algorithm of the discrete Fourier transformation of Dr. Gerald Goertzel and a third analyzer uses autocorrelation (folding of price data phase-shifted with itself).



Copyright © 2004-2018 Dr.-Ing. Jürgen Abel, Lechstraße 1, 41469 Neuß, Germany. All rights reserved.