Using fuzzy logic and particle swarm optimization to design a decision-based filter for cDNA microarray image restoration
This paper presents a DBAMI filter for the removal of impulse noises. It employs FL for a detector optimized by PSO and utilizes CWVM filter for restoring. The method employs the FL to detect each pixel of a cDNA microarray image. If the pixel is noise-corrupted, the DBAMI filter restores it with the CWVM filter. The DBAMI filter outperforms other filters in detection and restoration.
fuzzy logic particle swarm optimization decision-based filter spot color-ratio cdna microarray image processing