The int rinsic origin of deficiencies in both t he fast t hinning algorit hm ( F TA) and one2pass t hinning algorithm (OPTA) was analyzed , and a barycenter based fast t hinning algorit hm was presented. According to t he image’ s feat ure to be fined , the veins of t he image were fined to be of t hree pixel in widt h by using density barycenter and t hen t he 42neighborhood topology was comp uted to make complete t hinning. Simulation result showed t hat , in connection wit h t he t hinning efficiency , t he proposed algo2 rit hm exhibited so perfect ly that a great amount (more t han a half ) of redundant pixel s was eliminated af2 ter single overall checking , being 3 to 7 times faster t han t hat wit h fast t hinning algorit hm. As to t he re2 quirement of t hinning , this algorithm could implement absolute single2pixel t hinning wit hout blurred edges and keep the ends un2swallowed , so that t he requirement of image t hinning was well met .

一种基于重心的快速细化算法[1].pdf

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