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Kniha Canny Operator Based DRLSE Algorithm for Medical Image Segmentation Rupali Kawade

Canny Operator Based DRLSE Algorithm for Medical Image Segmentation

Autor: Rupali Kawade, Vijayalaxmi Kumbar
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: LAP LAMBERT Academic Publishing
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
789 Kč
Medical image segmentation is one of the most important parts of clinical diagnostic tools.The dista...

Informace o knize

Autor
Rupali Kawade, Vijayalaxmi Kumbar
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2020
Stránek
76
EAN
9786202520324
ISBN
6202520329
Enbook ID
32790247
Vydavatel
LAP LAMBERT Academic Publishing
Hmotnost
131
Rozměry
150 x 220 x 5

Kompletní popis

Medical image segmentation is one of the most important parts of clinical diagnostic tools.The distance regularization effect eliminates the need for reinitialization and thereby avoids its induced numerical errors. DRLSE in which the regularity of the level set function is intrinsically maintained during the level set evolution. The level set evolution is derived as the gradient flow that minimizes energy functional with a distance regularization term and an external energy that drives the motion of the zero level set toward desired locations. The distance regularization term is defined with a potential function such that the derived level set evolution has a unique forward-and-backward (FAB) diffusion effect, which is able to maintain a desired shape of the level set function. Canny operator used to determine the edges and edge directions. Then used a new variation level set formulation that is DRLSE .The algorithm combines the advantages of canny operator which can orient the boundary accurately and the idea that DRLSE algorithm continuously evolves the boundary in image space. Compared different types of Color medical images by using various parameters.

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