Title :
Image enhancement for segmentation by self-induced autoregressive filtering
Author :
Yang, Mark C K ; Yang, Chung-Chun
Author_Institution :
Dept. of Stat., Florida Univ., Gainesville, FL, USA
fDate :
6/1/1989 12:00:00 AM
Abstract :
A filter induced by the autoregressive pattern from an image is used to enhance the image itself. The enhanced image usually reveals the wave pattern and nonstationary structures more clearly than the original. Unlike the Fourier analysis, local structures in the image are still retained. The merits have been demonstrated on simulated data and synthetic-aperture radar (SAR) ocean imagery
Keywords :
computerised pattern recognition; computerised picture processing; filtering and prediction theory; SAR ocean imagery; computerised pattern recognition; computerised picture processing; filter; image enhancement; image segmentation; self-induced autoregressive filtering; Computer vision; Filtering; Image enhancement; Image processing; Image segmentation; Notice of Violation; Robot vision systems; Sea surface; Stereo vision; TV;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on