Affiliation:
1. Univ. of Maryland, College Park
Abstract
In this report three thinning algorithms are developed: one each for use with rectangular, hexagonal, and triangular arrays. The approach to the development of each algorithm is the same. Pictorial results produced by each of the algorithms are presented and the relative performances of the algorithms are compared. It is found that the algorithm operating with the triangular array is the most sensitive to image irregularities and noise, yet it will yield a thinned image with an overall reduced number of points. It is concluded that the algorithm operating in conjunction with the hexagonal array has features which strike a balance between those of the other two arrays.
Publisher
Association for Computing Machinery (ACM)
Reference9 articles.
1. Rutovitz D. Pattern recognition. J. Royal Statistical Society {A} 1291V (1966) 504-530. Rutovitz D. Pattern recognition. J. Royal Statistical Society {A} 1291V (1966) 504-530.
2. Deutsch E.S. Towards isotropic image reductiam IFIP Congress 71 North Holland Pub. Co. Amsterdam; Booklet TA-2 pp. 75-85. Deutsch E.S. Towards isotropic image reductiam IFIP Congress 71 North Holland Pub. Co. Amsterdam; Booklet TA-2 pp. 75-85.
3. Connectivity in Digital Pictures
Cited by
159 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献