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Call for Papers

Special Issue on
Decision Making in Human and Machine Vision

In many applications such as medical imaging, computer-aided diagnosis and other mission-critical applications, fully automatic solutions may be even undesirable, and human intervention and incorporating knowledge in the decision process may be necessary. For example, humans, by virtue of their remarkable ability in recognizing, perceiving and interpreting the visual world, can effortlessly distinguish different image regions or separate the different classes of objects. Reflecting the finite ability of the sensory organs and (finally the brain) to resolve details, perceptions are inherently imprecise. This means, boundaries of perceived classes are unsharp, and the values of attributes they can have are granulated. Therefore, it is both helpful and sometimes necessary to incorporate high-level perceptual knowledge and human intervention to solve problems in decision-making related to image analysis, vision and pattern recognition. To achieve this goal, the theory of (mainly soft) decision making techniques, integrated with perception based models, may provide useful approaches and methodologies because of their inherent characteristics like adaptivity, robustness, flexibility, speed, searching, uncertainty handling, and human like decision-making.

Scientists, researchers and practitioners are invited to present their current research results in the area of the decision making for imaging and vision, psychophysical and neuro-visual models in visual perception, and biologically inspired computer vision like scale space theory modelling, especially taking into account the modern Information and Communication Technologies.

The topics of interest

The topics of interest include:

Example Target Groups for Contributions:

Tentative Dates:
    November 30th, 2011
    February 15th, 2012
    May 15th, 2012
    July 1st, 2012
    November 2012

    Due date for paper submission
    First review decision
    Revised review decision
    Final manuscript due
    Expected publication

Guest Editors:

Prof. Sankar K. Pal
Machine Intelligence Unit
Indian Statistical Institute
Kolkata 700108, India
([email protected])

Prof. Alfredo Petrosino
Department of Applied Science
University of Naples Parthenope
Naples, Italy
([email protected])

About the Editors:

We have attached short biographical information on the editors (Sankar K. Pal, Alfredo Petrosino) of the proposed special issue. Pal and Petrosino are internationally recognized scientists for their pioneering contributions with many other distinguished achievements.

Sankar K. Pal (www.isical.ac.in/~sankar) has been Director and is a Distinguished Scientist of the Indian Statistical Institute. Currently, he is also a J.C. Bose Fellow of the Govt. of India. He founded the Machine Intelligence Unit and the Center for Soft Computing Research: A National Facility in the Institute in Calcutta. He received a Ph.D. in Radio Physics and Electronics from the University of Calcutta in 1979, and another Ph.D. in Electrical Engineering along with DIC from Imperial College, University of London in 1982.

He worked at the University of California, Berkeley and the University of Maryland, College Park in 1986-87; the NASA Johnson Space Center, Houston, Texas in 1990-92 & 1994; and in US Naval Research Laboratory, Washington DC in 2004. Since 1997 he has been serving as a Distinguished Visitor of IEEE Computer Society (USA) for the Asia-Pacific Region, and held several visiting positions in Italy, Hong Kong and Australian universities.

Prof. Pal is a Fellow of the IEEE, USA, the Academy of Sciences for the Developing World (TWAS), Italy, International Association for Pattern recognition, USA, International Association of Fuzzy Systems, USA, and all the four National Academies for Science/Engineering in India. He is a co-author of fifteen books and more than three hundred research publications in the areas of Pattern Recognition and Machine Learning, Image Processing, Data Mining and Web Intelligence, Soft Computing, Neural Nets, Genetic Algorithms, Fuzzy Sets, Rough Sets and Bioinformatics.

He has received the 1990 S.S. Bhatnagar Prize (which is the most coveted award for a scientist in India), and many prestigious awards in India and abroad including the 1999 G.D. Birla Award, 1998 Om Bhasin Award, 1993 Jawaharlal Nehru Fellowship, 2000 Khwarizmi International Award from the Islamic Republic of Iran, 2000-2001 FICCI Award, 1993 Vikram Sarabhai Research Award, 1993 NASA Tech Brief Award (USA), 1994 IEEE Trans. Neural Networks Outstanding Paper Award (USA), 1995 NASA Patent Application Award (USA), 1997 IETE-R.L. Wadhwa Gold Medal, the 2001 INSA-S.H. Zaheer Medal, 2005-06 ISC-P.C. Mahalanobis Birth Centenary Award (Gold Medal) for Lifetime Achievement, 2007 J.C. Bose Fellowship of the Government of India and 2008 Vigyan Ratna Award from Science & Culture Organization, West Bengal.

Prof. Pal is/ was an Associate Editor of IEEE Trans. Pattern Analysis and Machine Intelligence (2002-06), IEEE Trans. Neural Networks (1994-98 & 2003-06), Neurocomputing (1995-2005), Pattern Recognition Letters, Int. J. Pattern Recognition & Artificial Intelligence, Applied Intelligence, Information Sciences, Fuzzy Sets and Systems, Fundamenta Informaticae, LNCS Trans. On Rough Sets, Int. J. Computational Intelligence and Applications, IET Image Processing, J. Intelligent Information Systems, and Proc. INSA-A; a Book Series Editor, Frontiers in Artificial Intelligence and Applications, IOS Press, and Statistical Science and Interdisciplinary Research, World Scientific; a Member, Executive Advisory Editorial Board, IEEE Trans. Fuzzy Systems, Int. Journal on Image and Graphics, and Int. Journal of Approximate Reasoning; and a Guest Editor of IEEE Computer, and Theoretical Computer Science: Theory of Natural Computing.


Alfredo Petrosino (cvprlab.uniparthenope.it/staff/alfpet/index.php) is Associate Professor of Computer Science at the University of Naples Parthenope since 2005. Since he received the Laurea degree (cum laude) in Computer Science from the University of Salerno, in 1989, supervisor E. R. Caianiello, he held different research positions. During 1989-1994 he was a fellow researcher of the Italian National Research Council (CNR). In 1995 he was a contract researcher at International Institute of Advanced Scientific Studies (IIASS). He held positions as Researcher of the National Institute for the Physics of Matter (INFM) (1996-2000), as Researcher at the National Research Council (CNR) (2000- 2002) and as Senior Researcher at CNR (2002-2004).

He taught at the Universities of Salerno (1991-2006), Siena (1997/98), Naples Federico II (1999-2006), Naples Parthenope (2001-today).

He is Senior member of the IEEE, USA, member of the International Association for Pattern Recognition, USA, International Neural Networks Society, USA. He co-edited six books and more than one hundred research publications in the areas of Computer Vision, Image and Video Analysis, Pattern Recognition, Neural Networks, Fuzzy and Rough Sets, Data Mining. Research applications include target detection, remote sensing, biomedical imaging, digital movie restoration, uncertain information processing. He heads the research laboratory CVPRLab at University of Naples Parthenope that participates in a variety of applied projects, where results and know-how from those programs are exploited. He is permanent program committee member of Workshop on Neural Networks (WIRN) and organized the biennal Workshop on Fuzzy Logic and Applications (WILF) and a series of special issues in international scientific journals to cover the research topics.

In 1994 he received the Academic Price for Cybernetics from the Italian Academy of Science, Arts and Literature.

He is Associate Editor of Pattern Recognition journal; Member of the Editorial Board of Pattern Recognition Letters; Member of the Editorial Board of International Journal of Knowledge Engineering and Soft Data Paradigms; Book Editor of WILF-Fuzzy Logic and Applications, LNCS, Springer Verlag; Guest Editor of journal Fuzzy Sets and Systems, Image and Vision Computing, Parallel Computing.