Microarray image processing by order morphology

An order morphology transform is presented to filter and segment which is done by different percentile. Filter Is done flexibly by different size structure element with several percent. The threshold which for normal segment way such as Ostu decides is more lower when a low SNR Image Is processing especially the foreground is small or dot. The foreground can not be identified effectively in those case. Adaptive multl-threshold segment Is defined by percent value of order morphology. Analysis and results indicate that this way is more adaptive to different SNR fluorescence images. It could be applied to process high-density chips.