| Related citation: | XIA Wei-qiang,FAN Shang-chun,XING Wei-wei,LIU Chang-ting,LI Tian-zhi,WANG Jun-feng.A mathematical morphological approach for region of interest coding of microscopy image compression[J].Journal of Harbin Institute Of Technology(New Series),2012,19(3):115-121.DOI:10.11916/j.issn.1005-9113.2012.03.020. |
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| Author Name | Affiliation | | XIA Wei-qiang | School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China | | FAN Shang-chun | School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China | | XING Wei-wei | School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China | | LIU Chang-ting | General Hospital of the People's Liberation Army, Beijing 100853, China | | LI Tian-zhi | General Hospital of the People's Liberation Army, Beijing 100853, China | | WANG Jun-feng | General Hospital of the People's Liberation Army, Beijing 100853, China |
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| Abstract: |
| 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. |
| Key words: mathematical morphology region of interest (ROI) automatic segmentation microscopy image compression JPEG2000 |
| DOI：10.11916/j.issn.1005-9113.2012.03.020 |
| Clc Number:Q334 |
| Fund: |
