Approach of microscopic images mosaic revising based on adjacent image
Image mosaic splices several adjacent overlapped images into an integrated seamless picture which could be significant in medical image processing. However, because of image acquisition, a mismatch could occur as a result of adjacent image stitching data and cumulative errors. The current method which is effective in certain ways still has room for improvement regarding processing speed and effectiveness, particularly in accuracy. This paper proposed a new image mosaic revising algorithms based on the relativity of adjacent images location, expounding the principal of image mosaic unit, the equations on splicing parameters and the simplified rules as well as achieving automatic calculation through application of revised algorithm. By experiment, the 20 groups inaccurate pathological mosaic images were revised rapidly and accurately with error controlled within a pixel. It is proved that the approach is effective in revising the error matching in microscopic images mosaic.
image mosaic image processing remote medicine image mosaic error revising
Haishun Wang Rong Wang Limin Chen
College of Information & Technology, Zhejiang Chinese Medical University, 548 Binwen Road. Hangzhou, Taiyuan University of Science and Technology, 66 Waliu Road, Taiyuan , Shanxi, RRXhina Shanxi University, 92 Wucheng Road, Taiyuan , Shanxi, P.R.China
国际会议
Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)
成都
英文
634-637
2011-04-15（万方平台首次上网日期，不代表论文的发表时间）