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The application of image processing technology to industrial automation

✍ Scribed by Masakuzu Ejiri; Seiji Kashioka; Hirotada Ueda

Publisher
Elsevier Science
Year
1984
Tongue
English
Weight
603 KB
Volume
5
Category
Article
ISSN
0166-3615

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Different image processing techniques have been tested and compared on data derived from y-angiography images to detect the boundary of the left ventricle. The method involves a preprocessing step, followed by the edge detection itself. The best preprocessing is a nonlinear "variant" filtering, wher