Title :
Image segmentation combining region growing and edge detection
Author :
Xiaohan, Yu ; Ylä-Jääski, Juha ; Huttunen, Olli ; Vehkomäki, Tuomo ; Sipilä, Outi ; Katila, Toivo
Author_Institution :
Graphic Arts Lab., Tech. Res. Centre of Finland, Helsinki, Finland
fDate :
30 Aug-3 Sep 1992
Abstract :
In this paper a new image segmentation technique is presented combining region growing, edge detection, and a new edge preserving smoothing algorithm. The combined method helps to avoid characteristic segmentation errors which occur when using region growing or edge detection separately. Boundary smoothing is also introduced to ensure more realistic region boundaries. The algorithm can directly be extended for 3-dimensional data. Experimental results are shown to demonstrate the validity of the algorithm
Keywords :
adaptive filters; edge detection; image segmentation; 3D data; adaptive Gaussian filter smoothing; boundary smoothing; edge detection; edge preserving smoothing algorithm; image segmentation; region growing; Adaptive filters; Art; Filtering; Graphics; Image edge detection; Image segmentation; Laboratories; Noise reduction; Physics; Smoothing methods;
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
DOI :
10.1109/ICPR.1992.202029