Title :
Text and picture segmentation by the distribution analysis of wavelet coefficients
Author :
Li, Jia ; Gray, Robert M.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
Abstract :
This paper presents an algorithm to segment text and picture in an image using two features based on the statistical distribution of the wavelet coefficients in high frequency bands. The algorithm breaks the image into blocks and classifies every block as background, text or picture according to the two features. The block size is variable so that the segmentation can be accurate at the boundary of two types and avoids misclassifying due to over-localized region analysis
Keywords :
feature extraction; image classification; image segmentation; statistical analysis; wavelet transforms; background; classification features; high frequency bands; image classification; over-localized region analysis; picture segmentation; statistical distribution analysis; text segmentation; variable block size; wavelet coefficients; Compression algorithms; Frequency; Histograms; Image coding; Image processing; Image segmentation; Statistical distributions; Wavelet coefficients; Wavelet transforms; Web sites;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.999065
