Enhanced-alignment Measure for Binary Foreground Map Evaluation

Understand

The existing binary foreground map (FM) measures to address various types of errors in either pixel-wise or structural ways.

• These measures consider pixel-level match or image-level information independently, while cognitive vision studies have shown that human vision is highly sensitive to both global information and local details in scenes.
• In this paper, we take a detailed look at current binary FM evaluation measures and propose a novel and effective E-measure (Enhanced-alignment measure).
• Our measure combines local pixel values with the image-level mean value in one term, jointly capturing image-level statistics and local pixel matching information.