Title :
Data structure for segmenting binary image
Author :
Tong, W.B. ; Lu, G.Z.
Author_Institution :
Dept. of Robotics & Artificial Intelligence, Nankai Univ., Tianjin, China
Abstract :
Descriptions for binary images are important in image processing systems. In this paper, we design many data structures to describe image features and realize an algorithm using connectivity analysis (some similar to labeling algorithm) to extract these features. In practice,these methods are applied in robot´s peg-in-hole assembly. Vision here is used for analyzing images of parts (some holes in them). It proves that these data structures are very useful in binary image processing.<>
Keywords :
data structures; image segmentation; binary image segmentation; connectivity analysis; data structure; image features; image processing; peg-in-hole assembly; Algorithm design and analysis; Clustering algorithms; Data structures; Feature extraction; Image analysis; Image processing; Image segmentation; Pixel; Robots; Sensor arrays;
Conference_Titel :
TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-1233-3
DOI :
10.1109/TENCON.1993.320208
