Attila Fazekas

Lattice of generalized neighbourhood sequences in nD

The neighbourhood sequences have got a very important role in the digital picture processing. In this paper we give some new results from this area. We describe an ordering relation on the set of generalized nD-neighbourhood sequences. As this ordering does not have nice properties, we introduce another relation and prove that a complete distributive lattice can be obtained in this wax. Our investigations generalize the previous results of Das (1990) and Fazekas (1999) in 2D and 3D, respectively.

The openip open source image processing library

The openIP open source image processing library is a set of c++ libraries providing tools for education, research and industrial purposes. The aim of the development is to fill in the gap between the academic and commercial utilization of image processing. The openIP libraries are interoperable, open source and easy to install. To provide fast codes, assembler optimization, OpenMP parallelization and OpenCL based GPU utilization is integrated.

Metrical neighborhood sequences in Zn

Digital metrics on the digital space play an important role in several branches of discrete mathematics, e.g. in discrete geometry or digital image processing. We perform an overall analysis on some properties of neighborhood sequences which induce metrics on Z^n.

ON PROCESSING BINARY PICTURES VIA THEIR PROJECTIONS

There is a potential for substantial savings in computational costs by replacing image‐processing operations on certain binary pictures by operations on their row and column sums.

Turk-2, a multi-modal chess player

In this paper we present Turk-2, a hybrid multi-modal chess player with a robot arm and a screen-based talking head. Turk-2 can not only play chess, but can see and hear the opponent, can talk to him and display emotions. We were interested to find out if a simple embodiment with human-like communication capabilities enhances the experience of playing chess against a computer. First, give an overview of the development road to multi-modal communication with computers. Then we motivate our research with a hybrid system, we introduce the architecture of Turk-2, we describe the human experiments and its evaluation. The results justify that multi-modal interaction makes game playing more engaging, enjoyable - and even more effective. These findings for a specific game situation provide yet another evidence of the power of human-like interaction in turning computer systems more attractive and easier to use.

Recognition of facial gestures based on support vector machines

This paper addresses the problem of recognition of emotional facial gestures from static images in thumbnail resolution. More experiments are presented, a holistic and two local approaches using SVMs as classifier engines. The experimental results related to the application of our method are reported.

Support vector machines on the space of Walsh functions and their properties

Support vector machine is a special kind of learning machine, proposed by Vapnik. The learning capability of support vector machines depends on the Vapnik-Chervonenkis (VC) dimension of the kernel function used. In this paper, we construct a new kernel function for support vector machine, which is based on Walsh functions. We prove some theoretical results related to the VC-dimension of the support vector machines which are built in the space of the Walsh functions. First experimental results for face detection are reported.

Fast detection of chromosome metaphases in digitalized microscopic slides

Several algorithms and methods exist for object detection and recognition, but in the case of extremely large images most of these algorithms can not be used in a time efficient way. The detection of objects on scanned microscopic slides is a challenging problem due to the large size of the magnified slide scans. In this paper a two pass algorithm is presented for the detection of chromosome metaphases on scanned microscopic slides. In the first pass a fast estimation is given for the locations of metaphases on coarse resolution and in the second pass these locations are extracted in finer resolution and a fast component analysis is applied to affirm or reject the existence of a metaphase at the location.

An application of multi-modal human-computer interaction — the chess player turk 2

The different techniques based on multi-modal human-computer communication introduce new directions in the usage of the information systems. This paper presents a system which is able to play chess but also fulfills the requirements of multi-modal systems. The system uses a camcoder for following the chess game and for the communication with the player uses audio and video devices.

Image analysis of platelet derived growth factor receptor‐beta (PDGFRβ) expression to determine the grade and dynamics of myelofibrosis in bone marrow biopsy samples

Myelofibrosis (MF) is characterized by accumulation of stromal cells and extracellular matrix. Progression of fibrosis is an important clinical issue and monitoring is required for new therapeutic approaches. Currently, the quantification is based on semiquantitative evaluation of reticulin silver stained slides. We recently reported that platelet derived growth factor receptor beta (PDGFRβ) expression in fibroblasts is a useful marker of stromal activation. PDGFRβ expression based scores represent significant differences in different MF grade which provides optimal source of quantification. In this study, slide‐based measurements were performed to support correlations of PDGFRβ expression with MF grade.