摘要
A novel mathematical morphological approach for region of interest(ROI) automatic determination and JPEG2000-based coding of microscopy image compression is presented.The algorithm is very fast and requires lower computing power,which is particularly suitable for some irregular region-based cell microscopy images with poor qualities.Firstly,an active threshold-based method is discussed to create a rough mask of regions of interest(cells).And then some morphological operations are designed and applied to achieve the segmentation of cells.In addition,an extra morphological operation,dilation,is applied to create the final mask with some redundancies to avoid the"edge effect"after removing false cells.Finally,ROI and region of background(ROB) are obtained and encoded individually in different compression ratio flexibly based on the JPEG2000,which can adjust the quality between ROI and ROB without coding for ROI shape.The experimental results certify the effectiveness of the proposed algorithm,and compared with JPEG2000,the proposed algorithm has better performance in both subjective quality and objective quality at the same compression ratios.
A novel mathematical morphological approach for region of interest （ROI） automatic determination and JPEG2000-based coding of microscopy image compression is presented. The algorithm is very fast and re- quires lower computing power, which is particularly suitable for some irregular region-based cell microscopy im- ages with poor qualities. Firstly, an active threshold-based method is discussed to create a rough mask of re- gions of interest （cells）. And then some morphological operations are designed and applied to achieve the seg- mentation of cells. In addition, an extra morphological operation, dilation, is applied to create the final mask with some redundancies to avoid the ＂edge effect＂ after removing false cells. Finally, ROI and region of back- ground （ROB） are obtained and encoded individually in different compression ratio flexibly based on the JPEG2000, which can adjust the quality between ROI and ROB without coding for ROI shape. The experimen- tal results certify the effectiveness of the proposed algorithm, and compared with JPEG2000, the proposed algo- rithm has better performance in both subjective quality and objective quality at the same compression ratios.
