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Gertsovich, Irina
Publications (5 of 5) Show all publications
Gertsovich, I., Nilsson, M., Ström Bartunek, J. & Claesson, I. (2018). Automatic estimation of a scale resolution in forensic images. Forensic Science International, 283, 58-71
Open this publication in new window or tab >>Automatic estimation of a scale resolution in forensic images
2018 (English)In: Forensic Science International, ISSN 0379-0738, E-ISSN 1872-6283, Vol. 283, p. 58-71Article in journal (Refereed) Published
Abstract [en]

This paper proposes a new method for an automatic detection of a resolution of a scale or a ruler with graduation marks in the shoeprint images. The method creates a vector of the correlations estimated from the co-occurrence matrices for every row in a shoeprint image. The scale resolution is estimated from maxima in Fourier spectrum of the correlations’ vectors. The proposed method is evaluated on over 500 images taken at crime scenes and in a forensics laboratory. The experimental results indicate the possibility of applying the proposed method to automatically estimate the scale resolution in forensic images. The automatic detection of a scale resolution could be used to automatically rescale a forensic image before the printing this image in “one-to-one” scale. Furthermore, the proposed method could be used to automatically rescale images to an equal scale thus allowing to compare the images digitally. © 2017 Elsevier B.V.

Place, publisher, year, edition, pages
Elsevier Ireland Ltd, 2018
Keywords
Gray level co-occurrence matrix, Near regular texture, Scale resolution estimation, Shoeprint image, Texture pattern periodicity
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-15713 (URN)10.1016/j.forsciint.2017.12.007 (DOI)000424296400013 ()
Available from: 2018-01-04 Created: 2018-01-04 Last updated: 2018-02-22Bibliographically approved
Gertsovich, I., Bartuněk, J. S., Håkansson, L. & Nilsson, M. (2013). A novel methodology for the interoperability evaluation of an iris segmentation algorithm. In: : . Paper presented at IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS. Washington D.C.: IEEE
Open this publication in new window or tab >>A novel methodology for the interoperability evaluation of an iris segmentation algorithm
2013 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The performance of an iris recognition system depends greatly on how well the iris segmentation part of the system performs its task. The performance of an iris segmentation algorithm can be evaluated using different criteria and methods. Some of the methods evaluate the performance of the segmentation algorithm based on the performance of the whole iris recognition system. Other methods evaluate the performance of an iris segmentation subsystem independent of the performance of the system's other subsystems. To our knowledge there do not exist a generally accepted method or criteria for the evaluation of the standalone iris segmentation subsystem. This paper proposes a novel methodology to compare the performance of different iris segmentation algorithms, applied to different image datasets in a consistent way. The methodology employs the F1 score and an empirical cumulative distribution function. The implementation of the F1 score estimation, adapted to the iris segmentation task is described. Finally the application of the proposed methodology is demonstrated and discussed.

Place, publisher, year, edition, pages
Washington D.C.: IEEE, 2013
Keywords
Empirical cumulative distribution functions, Image datasets, Iris recognition systems, Iris segmentation, Novel methodology, Segmentation algorithms
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-6685 (URN)10.1109/BTAS.2013.6712698 (DOI)000336080600013 ()oai:bth.se:forskinfo7E7A7DC4F3134E42C1257CA600338446 (Local ID)9781479905270 (ISBN)oai:bth.se:forskinfo7E7A7DC4F3134E42C1257CA600338446 (Archive number)oai:bth.se:forskinfo7E7A7DC4F3134E42C1257CA600338446 (OAI)
Conference
IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS
Available from: 2014-07-17 Created: 2014-03-25 Last updated: 2017-03-13Bibliographically approved
Khan, I., Gertsovich, I., Claesson, I., Håkansson, L., Johansson, P.-E., Wirenstedt, M., . . . Petersson, S. (2013). MRI SCANNER VIBRATION PATH ANALYSIS. In: Machinery Noise and Vibration: . Paper presented at The 20th International Congress on Sound and Vibration (ICSV20), Bangkok. , Article ID 725.
Open this publication in new window or tab >>MRI SCANNER VIBRATION PATH ANALYSIS
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2013 (English)In: Machinery Noise and Vibration, 2013, article id 725Conference paper, Published paper (Other academic)
Abstract [en]

Magnetic Resonance Imaging (MRI) scanner is one of the most important tools in clinical diagnostics. MRI scanners are associated by strong vibration which results in unpleasant and disturbing acoustic noise. The primary source of this vibration is the Lorentz force produced by fast switching of the currents inside the gradient coils of MRI scanners under a strong static magnetic field. During an MR-imaging scan the switching is controlled in order to spatially code the hydrogen nuclei that will generate the signal, which is reconstructed into anatomical images. Faster switching of the currents allows for shorter scan times and/or higher image resolutions. Consequently, the clinical quality has motivated the drive for shorter switching time and higher currents. This development, however, has also caused an undesired increase of MRI vibrations. The overall vibration phenomenon of an installed fully functional MRI scanner system becomes unique because of the installed location and ambiance. This vibration can potentially degrade the image quality and hence the diagnosis. Apart from the vibration produced, the associated annoying acoustic noise may not only affect the patients under examination and the clinical staff, but may also be transmitted to other parts of the building and causing discomfort for the personnel working there. In order to devise an effective isolation plan or improve an existing one both for vibration and acoustic noise it is important to study the noise and vibration transfer paths. This paper concerns an investigation of vibration transfer paths for vibration excited by an installed functional MRI scanner at a medical facility. The vibration transfer paths have been investigated experimentally. The obtained results are presented and discussed.

National Category
Signal Processing
Identifiers
urn:nbn:se:bth-13808 (URN)
Conference
The 20th International Congress on Sound and Vibration (ICSV20), Bangkok
Available from: 2017-01-22 Created: 2017-01-22 Last updated: 2018-05-22Bibliographically approved
Smirnova, T., Larsson, M., Gertsovich, I., Johansson, S., Claesson, I. & Håkansson, L. (2010). Initial investigations concerning modelling of sound propagation in ducts with ANC by means of two-port theory and FEM. Paper presented at ICSV17. Paper presented at ICSV17. Cairo: International Institute of Acoustic and Vibration
Open this publication in new window or tab >>Initial investigations concerning modelling of sound propagation in ducts with ANC by means of two-port theory and FEM
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2010 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

Today mechanical ventilation systems are installed in many buildings to handle the ventilation. Such ventilation systems constitute a potential source of unwanted background noise in the buildings. In order to reduce the noise propagating through the ducts passive silencers are normally installed as a part of the ventilation system. However, the passive silencers are relatively ineffective in the low frequency range. A solution can be to use a combination of active noise control (ANC) and passive techniques where the ANC system extends the noise attenuation to include the low frequency noise. The construction of the ventilation systems can vary substantially between different buildings and may contain many different duct parts in different compositions etc. Hence, it may not be trivial to find a cost- and performance efficient installation of an ANC system in a ventilation system, e.g. to find a proper installation position of it and suitable passive silencers to combine it with, finding out if one or several ANC systems should be used, and so on. In order to make the design of a complete ventilation system (including one or several ANC systems) cost- and time efficient, an adequate mathematical model of the duct is required. The purpose of the model is to describe sound propagation in the duct. Such model can be built e.g. based on the two-port theory or by finite element method. In this paper initial investigations concerning modelling of standard duct parts were performed. Simulations were carried out to find parameters such as Noise Reduction etc., using both plane wave two-port theory and finite element modelling. The results of the simulations were compared with measurement results.

Place, publisher, year, edition, pages
Cairo: International Institute of Acoustic and Vibration, 2010
Keywords
Acoustic Measurements, Ducts, FEM, Two-Port Theory, Sound propagation in ducts, modelling
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-7737 (URN)oai:bth.se:forskinfo99F15E5C57DF8BCAC125778C00428535 (Local ID)oai:bth.se:forskinfo99F15E5C57DF8BCAC125778C00428535 (Archive number)oai:bth.se:forskinfo99F15E5C57DF8BCAC125778C00428535 (OAI)
Conference
ICSV17
Available from: 2012-09-18 Created: 2010-08-27 Last updated: 2015-06-30Bibliographically approved
Nilsson, M., Gertsovich, I. & Bartunek, J. S. (2010). Mouth Open or Closed Decision for Frontal Face Images with Given Eye Locations. Paper presented at IEEE Fourth International Conference on Biometrics: Theory, Applications and Systems. Paper presented at IEEE Fourth International Conference on Biometrics: Theory, Applications and Systems. Washington: IEEE
Open this publication in new window or tab >>Mouth Open or Closed Decision for Frontal Face Images with Given Eye Locations
2010 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

Abstract—Determination of the open/closed state of a mouth is a desired feature considering the face ISO standard. In this paper a simple score is proposed for automatic mouth open/closed decision. Landmarks around the mouth are explored in order to calculate the score. Analysis of mouth location, scale and rotation introduced by nonreflective similarity transformations utilizing prior knowledge regarding the eye locations with the accompanied Jesorsky error is presented. Further, a novel system is proposed in which a search in the four dimensions; position, scale, rotation and shape variation is combined with a discriminative classifier in order to perform alignment of the landmarks. The system is evaluated on the XM2VTS and IMM face databases indicating the feasibility of the proposed system. The evaluation is presented utilizing a cumulative distribution of the mouth open/closed score error.

Place, publisher, year, edition, pages
Washington: IEEE, 2010
National Category
Signal Processing
Identifiers
urn:nbn:se:bth-7746 (URN)oai:bth.se:forskinfo053DB4C1F0E577C9C125778B002DB75B (Local ID)978-1-4244-7581-0 (ISBN)oai:bth.se:forskinfo053DB4C1F0E577C9C125778B002DB75B (Archive number)oai:bth.se:forskinfo053DB4C1F0E577C9C125778B002DB75B (OAI)
Conference
IEEE Fourth International Conference on Biometrics: Theory, Applications and Systems
Available from: 2012-09-18 Created: 2010-08-26 Last updated: 2015-06-30Bibliographically approved
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