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Table 1 Abbreviations, full names, and their corresponding energy functionals of all methods for comparison

From: Some fast projection methods based on Chan-Vese model for image segmentation

No.

Abbreviations

Full name

Energy functional

1

GDEWRM

Gradient descent equation with re-initialization [16]

E(ϕ) = ∫  Ω Q12H(ϕ)dx + γ ∫  Ω |∇H(ϕ)|dx and ϕ t + Sign ϕ 0 ∇ ϕ − 1 = 0 ϕ x , 0 = ϕ 0

2

GDEWORM

Gradient descent equation without re-initialization [30]

E ϕ = ∫ Ω Q 12 H ϵ ϕ dx + γ ∫ Ω ∇ H ϵ ϕ dx + μ 2 ∫ Ω ∇ ϕ − 1 2 dx

3

ALM

Augmented Lagrangian method [34]

E ϕ , λ = ∫ Ω Q 12 H ϕ dx + γ ∫ Ω ∇ H ϕ dx + ∫ Ω λ ∇ ϕ − 1 dx + μ 2 ∫ Ω ∇ ϕ − 1 2 dx

4

PLM

Projection Lagrangian method [34]

E ϕ , w → = ∫ Ω Q 12 H ϕ dx + γ ∫ Ω ∇ H ϕ dx + ∫ Ω λ w → − 1 dx + μ 2 ∫ Ω w → − ∇ ϕ 2 dx

5

CALM

Completely augmented Lagrangian method [36]

E ϕ , φ , s , v → , w → = ∫ Ω Q 12 sdx + γ ∫ Ω v → dx + ∫ Ω λ 2 s − H ϵ φ dx + μ 2 2 ∫ Ω s − H ϵ φ 2 dx + ∫ Ω λ → 3 ⋅ v → − ∇ s dx + μ 3 2 ∫ Ω v → − ∇ s 2 dx + ∫ Ω λ 1 φ − ϕ dx + μ 1 2 ∫ Ω φ − ϕ 2 dx + ∫ Ω λ → 4 ⋅ w → − ∇ ϕ dx + μ 4 2 ∫ Ω w → − ∇ ϕ 2 dx s . t . w → = 1

6

SBPM

Split Bregman projection method

E ϕ , w → = ∫ Ω Q 12 H ϵ ϕ dx + γ ∫ Ω | w → | δ ϵ ϕ dx + θ 2 ∫ Ω w − ∇ ϕ − b → k + 1 dx s . t . w → = 1

7

ALPM

Augmented Lagrangian projection method

E ϕ , w → , λ → = ∫ Ω Q 12 H ϵ ( ϕ ) dx + γ ∫ Ω | w → | δ ϵ ϕ dx + ∫ Ω λ → ⋅ w → − ∇ ϕ dx + θ 2 ∫ Ω w → − ∇ ϕ 2 dx s . t . w → = 1

8

DSBPM

Dual Split Bregman projection method

E ϕ , p → , w → = ∫ Ω Q 12 H ϵ ϕ dx + γ ∫ Ω H ϵ ϕ ∇ ⋅ p → dx + θ 2 ∫ Ω w → − ∇ ϕ − b → k + 1 2 dx s . t . w → = 1

9

DALPM

Dual augmented Lagrangian method

E ϕ , p → , w → , λ → = ∫ Ω Q 12 H ϵ ( ϕ ) dx + γ ∫ Ω H ϵ ϕ ∇ ⋅ p → dx + ∫ Ω λ → ⋅ w → − ∇ ϕ dx + θ 2 ∫ Ω w → − ∇ ϕ 2 dx s . t . w → = 1

10

FMM

Fuzzy membership method [38]

E ϕ , w → = ∫ Ω Q 12 ϕdx + γ ∫ Ω | w → | dx + θ 2 ∫ Ω w − ∇ ϕ − b → k + 1 dx s . t . ϕ ∈ 0 , 1