Title :
Texture analysis on modified bitumen images using Gabor features
Author :
Sevket Gumustekin;Ali Topal;Burak Sengoz
Author_Institution :
Elektrik ve Elektronik M?hendisli?i B?l?m?, ?zmir Y?ksek Teknoloji Enstit?s?, Turkey
fDate :
4/1/2008 12:00:00 AM
Abstract :
The bitumen which is an irreplaceable material of construction industry, especially in transportation, has become a primary field of research with the improvements in material science technologies, in order to build more robust and reliable roads and buildings. It has become a standard procedure to add several types of materials into the bitumen. Testing the modified bitumen is extermely important to maintain high quality and to inspect malpractice during construction. In this work a new method is presented which is an alternative to mechanical methods. Textural properties of modified bitumen images are investigated, and it was observed that it is possible to identify what type of material is added to the bitumen at what percentage.
Keywords :
"Local area networks","Image processing","Materials","Gabor filters","Scattering","Manganese","Construction industry"
Conference_Titel :
Signal Processing, Communication and Applications Conference, 2008. SIU 2008. IEEE 16th
Print_ISBN :
978-1-4244-1998-2
DOI :
10.1109/SIU.2008.4632627