Classification Of Wood Defect Images Using Local Binary Pattern Variants
This paper presents an analysis of the statistical texture representation of the Local Binary Pattern (LBP) variants in the classification of wood defect images. The basic and variants of the LBP feature set that was constructed from a stage of feature extraction processes with the Basic LBP, Rotati...
محفوظ في:
المؤلفون الرئيسيون: | Rahiddin, Rahillda Nadhirah Norizzaty, Hashim, Ummi Rabaah, Ismail, Nor Haslinda, Salahuddin, Lizawati, Ngo, Hea Choon, Zabri@Suhaimi, Siti Normi |
---|---|
التنسيق: | مقال |
اللغة: | English |
منشور في: |
Universitas Ahmad Dahlan
2020
|
الوصول للمادة أونلاين: | http://eprints.utem.edu.my/id/eprint/25004/2/2020%2C%20UMMI%2C%20CLASSIFICATION_OF_WOOD_DEFECT_IMAGES.PDF http://eprints.utem.edu.my/id/eprint/25004/ http://ijain.org/index.php/IJAIN/article/view/392/ijain_v6i1_p36-45 |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Statistical texture representation for wood defect image classification using local binary pattern variants
بواسطة: Rahiddin, Rahillda Nadhirah Norizzaty
منشور في: (2021) -
Evaluation Of Texture Feature Based On Basic Local Binary Pattern For Wood Defect Classification
بواسطة: Ibrahim, Eihab Abdelkariem Bashir, وآخرون
منشور في: (2021) -
Identification Of Wood Defect Using Pattern Recognition Technique
بواسطة: Teo, Hong Chun, وآخرون
منشور في: (2021) -
Local texture representation for timber defect recognition based on variation of LBP
بواسطة: Rahiddin, Rahillda Nadhirah Norizzaty, وآخرون
منشور في: (2022) -
Analysis Of Texture Features For Wood Defect Classification
بواسطة: Abdullah, Nur Dalila, وآخرون
منشور في: (2020)