Edge is the boundary between an object and its background. They represent the frontier for single objects. Therefore, if the edges of image’s objects can be identified with precision, all the objects can be located and their properties such as area, perimeter, shape, etc, can be calculated. It is important to identify the precise edge in infrared imaging guidance system. In the full paper we explain in detail how to use the grey relational analysis effectively to detect the edge precisely. First, we use the grey relational analysis to finish the edge detection. During the edge detection, the formula of grey relational analysis is different from the tranditional edge detection which also based on the grey relational analysis. And the value of the referential sequence is also different from the tranditional one. Then we use the Zhang-Suen Thinning Algorithm to get the skeleton of the edge. The result show that our method can detect and obtain more precise edge pixels. In all cases, our algorithm gives improved results when compared to some more popular edge detection methods.
An edge detection method for infrared image based on grey relational analysis
2008-12-01
682310 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Grey Relational Analysis Method for Urban Logistics
Trans Tech Publications | 2013
|Evaluation on Crew’s Information Processing Capability Based on Grey Relational Analysis
Springer Verlag | 2017
|Vehicle Interior Sound Quality Analysis by Using Grey Relational Analysis
SAE Technical Papers | 2014
|Aircraft climatic environment adaptability evaluation method based on grey relational degree
Europäisches Patentamt | 2022
|Construction of Road Safety Composite Indicator Using Grey Relational Analysis
DOAJ | 2021
|