Thresholding is a popular image segmentation method that often requires as a preliminary and indispensable
stage in the computer aided image process, particularly in the analysis of X-ray welding images. In this
paper, a modified gray level difference-based transition region extraction and thresholding algorithm is presented
for segmentation of the images that have been corrupted by intensity inhomogeneities or noise. Classical gray
level difference algorithm is improved by selective output of the result of the maximum or the minimum of the
gray level with the pixels in the surrounding, and multi-structuring of neighborhood window is used to represent
the essence of transition region. The proposed algorithm could robustly measure the gray level changes, and
accurately extract transition region of an image. Comparisons with other approaches demonstrate the superior
performance of the proposed algorithm.
TONG Tong* (佟 彤), CAI Yan (孙大为), SUN Da-wei (孙大为), WU Yi-xiong (吴毅雄)
. Modified Gray Level Difference-Based Thresholding Segmentation and its Application in X-Ray Welding Image[J]. Journal of Shanghai Jiaotong University(Science), 2013
, 18(4)
: 448
-453
.
DOI: 10.1007/s12204-013-1414-1
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