Skip to main navigation
Skip to search
Skip to main content
Teesside University's Research Portal Home
Home
Profiles
Research units
TeesRep
Student theses
Projects
Datasets
Press/Media
Search by expertise, name or affiliation
An efficient object recognition scheme for a prototype component inspection
T. Sarkodie-Gyan, A. W. Campbell
Teesside University
Research output
:
Contribution to journal
›
Article
›
peer-review
10
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'An efficient object recognition scheme for a prototype component inspection'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Recognition Schemes
100%
Object Recognition
100%
Component Inspection
100%
Prototype Components
100%
Indexing Methods
50%
Feature Extraction
50%
Fuzzy Membership Function
50%
Classification Scheme
50%
Edge Detection
50%
Extraction Features
50%
Engine Components
50%
Optical Arrangement
50%
High Tolerance
50%
Effective Feature
50%
Feature Classification
50%
Feature Transformation
50%
Feature Analysis
50%
Computer Science
Object Recognition
100%
Indexing Technique
50%
Classification Scheme
50%
edge detection algorithm
50%
Image Capture
50%
Fuzzy Membership Function
50%
Feature Extraction
50%
Engineering
Edge Detection
50%