Location of structural sections from within a highly distorted complex line drawing

Richard O. Canham; Stephen L. Smith; Andy M. Tyrrell

doi:10.1049/ip-vis:20045166

Location of structural sections from within a highly distorted complex line drawing

Richard O. Canham, Stephen L. Smith, Andy M. Tyrrell

Electronic Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

Complex and highly distorted line drawings are produced by subjects attempting the Rey Complex Figure test, a clinical test of neuropsychological assessment. However, the marking scheme conventionally employed can be subjective and unreliable. In this paper, the first stages in automating this scoring system are investigated using a robust technique to locate a reduced set of scoring sections and a knowledge-based system that employs spatial metrics and fuzzy approximation techniques. Testing the technique using clinical data produced encouraging results that support the argument that this is a feasible approach for implementing a fully automated system, and that in its current state, can be immediately applied in a semi-automated system.

Original language	English
Pages (from-to)	741-749
Number of pages	9
Journal	IEE Proc. Vision, Image &amp; Signal Processing
Volume	152
Issue number	6
DOIs	https://doi.org/10.1049/ip-vis:20045166
Publication status	Published - Dec 2005

Keywords

IMAGE-ANALYSIS
RECOGNITION
FIGURE
VISION
SYSTEM

Access to Document

10.1049/ip-vis:20045166

Cite this

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title = "Location of structural sections from within a highly distorted complex line drawing",

abstract = "Complex and highly distorted line drawings are produced by subjects attempting the Rey Complex Figure test, a clinical test of neuropsychological assessment. However, the marking scheme conventionally employed can be subjective and unreliable. In this paper, the first stages in automating this scoring system are investigated using a robust technique to locate a reduced set of scoring sections and a knowledge-based system that employs spatial metrics and fuzzy approximation techniques. Testing the technique using clinical data produced encouraging results that support the argument that this is a feasible approach for implementing a fully automated system, and that in its current state, can be immediately applied in a semi-automated system.",

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KW - IMAGE-ANALYSIS

KW - RECOGNITION

KW - FIGURE

KW - VISION

KW - SYSTEM

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JO - IEE Proc. Vision, Image &amp; Signal Processing

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