Title :
Cartoon Image Classification Based on Wavelet Transform
Author_Institution :
Coll. of Math., Phys. & Inf. Eng., Zhejiang Normal Univ., Jinhua, China
Abstract :
Cartoon images is used in many applications.We propose a cartoon image classification method in 2D images. The algorithm is based on in support vector machines and wavelet transform. The cartoon image classification method is robust in the presence of noise. The method has been implemented and performed experiments on some image data. Our experimental results showed characteristics of our method. In the end, the future research directions are discussed.
Keywords :
image classification; support vector machines; wavelet transforms; 2D images; cartoon image classification; support vector machines; wavelet transform; Feature extraction; Frequency; Image classification; Image databases; Internet; Signal processing; Statistical analysis; Support vector machine classification; Support vector machines; Wavelet transforms; Image Classification; SVM; Wavelet;
Conference_Titel :
Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3699-6
DOI :
10.1109/APCIP.2009.156
