Title :
Image classification with adaptive processing of BSP image representation
Author :
Cho, Siu-Yeung ; Chi, Zheru ; Wan-Chi Siu
Author_Institution :
Centre for Multimedia Signal Process., Hong Kong Polytech. Univ., Kowloon, China
Abstract :
Image content representation is still a challenging problem in the field of image processing. In this paper, a binary space partition (BSP) tree structure image representation incorporating with adaptive processing of data structures is presented. This tree structure representation is robust to preserve the scene semantics of image contents. Promising results were achieved when our approach was tested on the classification of natural scenery images.
Keywords :
adaptive signal processing; image classification; image representation; natural scenes; tree data structures; adaptive processing; binary space partition tree structure; data structures; image classification; image content representation; image processing; image representation; natural scenery images; scene semantics; Adaptive signal processing; Data structures; Image classification; Image processing; Image representation; Image segmentation; Layout; Neural networks; Robustness; Tree data structures;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1181208
