Optimized feature selection for tropical wood species recognition using genetic algorithm
An automatic tropical wood species recognition system was developed at the Centre for Artificial Intelligence & Robotics (CAIRO), Universiti Teknologi Malaysia. The system classifies wood species by using texture analysis whereby wood surfaces images are captured and the features are extracted f...
محفوظ في:
المؤلف الرئيسي: | Khairuddin, Uswah |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2012
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/34656/1/UswahKhairuddinMFKE2012.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Method for solving nonlinearity in recognising tropical wood species /
بواسطة: Anis Salwa Mohd Khairuddin -
Metaheuristic approach on feature extraction and classification algorithm for handwrittten character recognition
بواسطة: Mohamad, Muhammad ‘Arif
منشور في: (2019) -
Design of an intelligent wood recognition system for the classification of tropical wood species
بواسطة: Lew, Eileen Yi Lee
منشور في: (2005) -
Aco-based feature selection algorithm for classification
بواسطة: Al-mazini, Hassan Fouad Abbas
منشور في: (2022) -
Image watermarking optimization algorithms in transform domains and feature regions
بواسطة: Tao, Hai
منشور في: (2012)