Title :
An iterative edge linking algorithm with noise removal capability
Author :
Liu, Shing-Min ; Lin, Wei-Chung ; Liang, Cheng-Chung
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
Abstract :
A linking algorithm to fill gaps between edge segments is presented. The gap filling operation is performed in an iterative manner rather than a single step. During each iteration, the noises are also removed gradually. The proposed algorithm starts with connecting the tip ends of two (line or curve) segments with a line segment and then tries to modify the resulting segment by straight-line fitting. The two major phases of the algorithm are detailed step by step. The advantages of using the algorithm are also discussed
Keywords :
iterative methods; pattern recognition; iterative edge linking algorithm; iterative method; noise removal; pattern recognition; straight-line fitting; Aggregates; Curve fitting; Filling; Image analysis; Image edge detection; Image segmentation; Iterative algorithms; Joining processes; Layout; Noise reduction;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28458