DocumentCode
1214769
Title
Bidirectional labeling and registration scheme for grayscale image segmentation
Author
Ma, Lei ; Zhang, Xiao-Ping ; Si, Jennie ; Abousleman, Glen P.
Author_Institution
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
Volume
14
Issue
12
fYear
2005
Firstpage
2073
Lastpage
2081
Abstract
In this paper, we introduce a new image segmentation scheme that is based on bidirectional labeling and registration and prove that its segmentation performance is equivalent to that of the conventional watershed segmentation algorithm. The proposed bidirectional labeling and registration scheme, which we refer to as bidirectional labeling and registration scheme (BIDS), involves only linear scans of image pixels. It uses one-dimensional operations rather than the queues that are used in traditional segmentation algorithms, which are two-dimensional problems. BIDS also provides unique labels for individual homogeneous regions. In addition to achieving the same segmentation results, BIDS is four times less computationally complex than the conventional watershed by immersion technique.
Keywords
computational complexity; image colour analysis; image registration; image resolution; image segmentation; bidirectional labeling and registration scheme; grayscale image segmentation; image pixels; watershed segmentation algorithm; Computational complexity; Digital images; Geography; Gravity; Gray-scale; Helium; Image segmentation; Labeling; Pixel; Two dimensional displays; Bidirectional labeling; catchment basin; gradient map; image segmentation; region merge; region registration; watershed; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Pattern Recognition, Automated; Signal Processing, Computer-Assisted; Subtraction Technique;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2005.857277
Filename
1532307
Link To Document