Title :
Comparison of two generating kernels in linked-pyramid segmentation of noisy images
Author :
Lam, S.W.C. ; Ip, H.H.S.
Author_Institution :
City Polytech. of Hong Kong, Hong Kong
Abstract :
Linked node pyramid segmentation is a cooperative and iterative segmentation process. The first step of carrying out the segmentation is forming an initial pyramid. Overlapped local averaging has been used as the blurring scheme for the formation of the initial pyramid. The paper studies two different blurring filters: Gaussian and morphological filters. The segmentation performance of these filtering schemes are measured according to some objective criteria and the pros and cons of these schemes are discussed
Keywords :
computerised pattern recognition; computerised picture processing; iterative methods; Gaussian filters; blurring filters; blurring scheme; cooperative segmentation; generating kernels; iterative segmentation; linked node pyramid segmentation; morphological filters; noisy images; overlapped local averaging; segmentation performance;
Conference_Titel :
Image Processing and its Applications, 1992., International Conference on
Conference_Location :
Maastricht
Print_ISBN :
0-85296-543-5