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
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;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2005.857277