Fast algorithm to minimize model combining dynamically local and global fitting energy for image segmentation

A sweeping optimization algorithm for the global cosine fitting energy image segmentation model

“…Wang et al 10 gave a finite difference scheme of the GCF model, but the segment speed is slow. To avoid the time‐consuming computation and slow evolution speed, and inspired by Song et al, 38 Boutiche et al, 44,45 and Zou et al 42,43 we propose a sweeping algorithm based on the GCF energy functional.…”

“…In recent years, many improved numerical solution methods for the level set evolution equation have been proposed. To avoid time‐consuming computations and improve the evolution speed, and inspired by References 39–45, we describe a fast algorithm of the GCF energy functional model. The variation of the cosine fitting energy is computed directly by a sweeping optimization algorithm instead of solving the Euler–Lagrange equation.…”

“…Song et al 38 developed a sweep algorithm to solve the CV model. He et al, 39 Shyu et al, 40,41 Zou et al, 42,43 and Boutiche et al [44][45][46] developed the some sweeping algorithms based on several classical level set models.…”