Texture image classification using improved image enhancement and adaptive SVM

• Main Authors: Abdul Hamid, Lydia, Mohd. Khairuddin, Anis Salwa, Khairuddin, Uswah, Rosli, Nenny Ruthfalydia, Mokhtar, Norrima
• Format: Article
• Published: Springer Science and Business Media Deutschland GmbH 2022
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/104117/; http://dx.doi.org/10.1007/s11760-021-02113-y

The development of a robust and accurate wood species recognition system based on wood texture images is important to guarantee the quality of the wood merchandise. Wood species can be classified according to distinctive texture features such as the positioning of pores or vessel, fibres, rays paren...