Title :
Image Segmentation Using Multiscale Gradient Toboggan
Author :
Li, Guo ; Liqun, Gao ; Zhao-Yu, Pian ; Kun, Wang
Author_Institution :
Northeastern Univ., Shenyang
Abstract :
Toboggan is an important tool on image segmentation, and the performance of image segmentation based on toboggan mostly independent on the gradient image. A method of image segmentation was presented, which is toboggan segmentation. The gradient image is computed by using the multi-scale morphological gradient operation. The approach of region merging is used after toboggan segmentation. Region merging was carried out according to region area and region homogeneity. It was proved that the method was valid and more accurate than other common algorithms of image segmentation.
Keywords :
gradient methods; image segmentation; mathematical operators; merging; transforms; gradient image; image segmentation algorithm; multiscale morphological gradient operation; region combination; region homogeneity; region merging approach; toboggan segmentation; watershed transform; Clustering algorithms; Clustering methods; Computational complexity; Educational institutions; Image edge detection; Image segmentation; Information science; Merging; Partitioning algorithms; Pixel; multi-scale morphological gradient; region combination; toboggan; watershed transform;
Conference_Titel :
Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0737-8
Electronic_ISBN :
978-1-4244-0737-8
DOI :
10.1109/ICIEA.2007.4318802