Title :
Segmentation Method for Rock Particles Image Based on Improved Watershed Algorithm
Author :
Zhou, Yuncai ; Ren, Hui
Author_Institution :
Coll. of Comput. Sci., Yangtze Univ., Jingzhou, China
Abstract :
The complex texture of natural background gives lots of difficulty to segment foreground objects from the nature background in rock particles image. An improved watershed segmentation method is proposed to raise the segmentation accuracy of rock particles image. The new method combines the merits of mathematical morphology algorithm and traditional watershed algorithm. At different stages of segmentation, this method uses morphological reconstruction, marker computations, defined intuitive watershed algorithm and region merging to avoid over-segmentation and guarantee a better ability of segmentation.
Keywords :
geology; image segmentation; mathematical morphology; particle size; rocks; transforms; complex texture; foreground objects; improved watershed algorithm; improved watershed segmentation method; marker computations; mathematical morphology algorithm; morphological reconstruction; natural background; region merging; rock particles image; segmentation accuracy; Algorithm design and analysis; Image reconstruction; Image segmentation; Merging; Morphology; Noise; Rocks; image segmentation; mathematical morphology; rock particles; watershed algorithm;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.94