Pregled bibliografske jedinice broj: 1036450
Features Extraction and Texture Defect Detection of Sawn Wooden Board Images
Features Extraction and Texture Defect Detection of Sawn Wooden Board Images // 2019 27th Telecommunications Forum
Beograd: Academic Mind, 2019. str. 317-320 doi:10.1109/TELFOR48224.2019.8971381 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1036450 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Features Extraction and Texture Defect Detection of Sawn Wooden Board Images
Autori
Aleksi, Ivan ; Sušac, Filip ; Matić, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2019 27th Telecommunications Forum
/ - Beograd : Academic Mind, 2019, 317-320
ISBN
978-1-7281-4789-5
Skup
27th Tеlеcommunicаtions Forum (TELFOR 2019)
Mjesto i datum
Beograd, Srbija, 26.11.2019. - 27.11.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
statistical features ; sawn wooden boards ; image processing ; defect detection ; quality control
Sažetak
This paper addresses features extraction from images of sawn wooden board with application in wood surface defect detection. Selection of statistical features is considered. Defects detection in wood images is done by calculating a vector difference between the texture without defects and those with present defects. The method was tested in an ideal case with notable success rate in detecting defects. In addition, experimental analysis is performed on 25 samples with varying number of defects. conclusions on method success is given with discussion on possible improvements.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
