DocumentCode
3095551
Title
Region growing and region merging image segmentation
Author
Ikonomatakis, N. ; Plataniotis, K.N. ; Zervakis, M. ; Venetsanopoulos, A.N.
Author_Institution
Dept. of Electr. Eng., Toronto Univ., Ont., Canada
Volume
1
fYear
1997
fDate
2-4 Jul 1997
Firstpage
299
Abstract
Image segmentation is an important first task of any image analysis process. This paper presents a seeded region growing and merging algorithm that was created to segment grey scale and colour images. The approach starts with a set of seed pixels and from these grows regions by appending to each seed pixel those neighbouring pixels that satisfy a certain predicate. Small regions of far away values were merged to neighbouring regions while regions of similar value were also merged. Homogeneity functions are introduced for both grey scale and colour images
Keywords
image colour analysis; image segmentation; colour images; grey scale images; homogeneity functions; image analysis; image segmentation; region growing; region merging; seed pixels; Biomedical imaging; Clustering algorithms; Failure analysis; Focusing; Image color analysis; Image edge detection; Image segmentation; Merging; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
Conference_Location
Santorini
Print_ISBN
0-7803-4137-6
Type
conf
DOI
10.1109/ICDSP.1997.628077
Filename
628077
Link To Document