Title :
Firing particles detection based on adaptive fuzzy local threshold in sequence images
Author :
Jihong, Pei ; Xuan, Yang
Author_Institution :
Sch. of Electron. Eng., Xidian Univ., Xi´´an, China
Abstract :
A method of detecting firing particles in sequence images is proposed in this paper. The features of the firing particles in sequence images are analyzed and described in fuzzy linguistic variable. Adaptive fuzzy local thresholds are determinated to detect the moving objects. Image information fusion techniques are applied to reduce noise particles also. This method is feasible and satisfied with experiment results
Keywords :
adaptive signal processing; fuzzy set theory; image sequences; object detection; adaptive fuzzy local threshold; firing particles detection; fuzzy linguistic variable; image information fusion techniques; noise reduction; sequence images; Data mining; Firing; Image analysis; Image motion analysis; Image segmentation; Image sequence analysis; Layout; Motion estimation; Noise reduction; Object detection;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.893373
