Cognitive Techniques in Visual Data Interpretation

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Springer Science & Business Media, Jul 21, 2009 - Computers - 115 pages
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The extremely rapid progress of science dealing with the design of new computer systems and the development of intelligent algorithmic solutions for solving c- plex problems has become apparent also in the field of computational intelligence and cognitive informatics methods. The progress of these new branches of inf- matics has only started a few years ago, but they are already making a very s- nificant contribution to the development of modern technologies, and also forming the foundations for future research on building an artificial brain and systems i- tating human thought processes. We are already able to build robots with basic machine intelligence, which can sometimes perform complex actions and also - erate by adapting to changing conditions of their surroundings. This very impr- sive development of intelligent systems is manifested in the creation of robotic devices which use artificial intelligence algorithms in their operations, mo- ments, when solving difficult problems or communicating with humans. It is also evidenced by the introduction of new methods of reasoning about and interpreting objects or events surrounding the system. One of the fields in which the need to deploy such modern solutions is obvious are cognitive vision systems used both in mobile robots and in computer systems which recognise or interpret the meaning of recorded signals or patterns.
 

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Contents

Introduction
1
Traditional pattern recognition technigues and latest image interpretation approaches
7
22 Basic stages in the pattern classification process
13
23 Basic methods of pattern recognition
14
232 Methods based on function series
15
233 Methods based on probability distributions
17
24 Structural methods for describing and recognising images
18
25 Methods of determining image semantics
20
422 IMEI Model InformationMatterEnergyIntelligence
52
423 LRMB Model Layered Reference Model of the Brain
53
424 OAR Model ObjectAttributeRelation
55
43 Cognitive science in categorisation tasks
57
Cognitive information systems
62
51 Types and functions of cognitive information systems
65
52 Definition and characteristics of cognitive categorisation systems
70
53 Properties of computer cognitive categorisation systems
73

251 Algorithms for determining image semantics
21
252 Methods based on formal languages for determining image meanings
24
Cognitive aspects performed in the human mind
28
32 General brain structure
32
33 Brain functions
34
34 Information processing in the cerebral cortex and perception models
36
342 Mapping dependent on features
37
35 Cognition levels
38
The fundamentals and development of Cognitive Informatics
41
42 Theoretical aspects and formal models of cognitive informatics
49
421 IME Model InformationMatterEnergy
51
Understandingbased image analysis systems
75
UBIAS systems in cognitive interpretation of medical visualization
79
711 Analysis of foot images in the dorsoplanar projection
80
712 Analysis of foot images in the lateral projection
85
7122 Internal lateral projection
89
72 Cognitive systems for supporting bone fracture therapy
95
Summary
103
References
106
Index
112
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