Title:
jiyuzuixiaoerchengfagaijindesuijituoyuanjiance
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Description: : An imp roved randomized ellip se detection algorit hm based on least square approach was proposed
to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2
lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three
windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge
whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of
ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced
to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images
containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he
improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces
File list (Check if you may need any files):
基于最小二乘法的改进的随机椭圆检测算法.pdf
