Kim M, Choi J G, Lee M H, et al.Description of Core Experiments N2. Doc. ISO/IEC JTC1/SC29/WG11, San Jose, 1998
[2]
Zucker S W. Region growing: Childhood and adolescence, Comput. Graph. ImageProcess, 1976, 5(2): 382-399
[3]
Horowitz S L, Pavlidis T. Picture segmentation by a directed split-and-mergeprocedure. Proceeding of 2nd Int. Joint Conference on Pattern Recognition, 1974, 424-433
[4]
Horowitz S L, Pavlidis T. Picture segmentation by a tree traversal algorithm. J.Assoc. Comput. Mach., 1976, 23(2): 368-388
[5]
Chen S, Lin W, Chen C. Split-and-merge image segmentation based on localizedfeature analysis and statistical tests. CVGIP: Graph Models Image Process, 1991, 53:457-475
[6]
Besl P, Jain R. Segmentation through variable-order surface fitting. IEEE Trans.Pattern Analysis and Machine Intelligence, 1988, 10(1): 167-192
[7]
Beveridge R. Segmenting images using localized histogram and region merging.CVGIP\'89, 1989, 2(2): 311-347
[8]
Hairs K. Hybrid image segmentation using watersheds and fast region merging, IEEETrans. Image Processing, 1998, 7(11): 1684-1699
[9]
Adams R, Bishof L. Seeded region growing, IEEE Trans. Pattern Analysis and MachineIntelligence, 1994, 16(4): 641-647
[10]
Pavlids T, Liow Y T. Integration region growing and edge detection. IEEE Trans.Pattern Analysis and Machine Intelligence, 1990, 12(1): 225-233
[11]
Kwok S H, Constantinides A G. A fast recursive shortest spanning tree for imagesegmentation and edge detection. IEEE Trans. Image Processing, 1997, 6(2): 328-332
[12]
Morris O J, Lee M J, Constantinides A G. Graph theory for image analysis: Anapproach based on the shortest spanning tree. Proc. Inst. Elect. Eng., 1986, 133(1):146-152
[13]
Salembier P, Pardas M. Hierarchical morphological segmentation for image sequencecoding. IEEE Trans. Image Processing, 1994, 3(4): 639-651
[14]
Neri A, Colonnese S, Russo G, et al. Automatic moving object and backgroundseparation. Signal Processing, 1998, 66(2): 219-232
[15]
Neri A, Colonnese S, Russo G. Automatic moving objects and background segmentationby means of Higher Order Statistics. IS&T Electronic Imaging\'97, SPIE: VisualCommunication and Image Processing, S. Jose, 1997, 8-14