Abstract: Aimed at the shortage of the abilities of noise removing and small target preservation for the conventional two-dimensional Otsu thresholding method, a new two-dimensional (2D) Otsu method based on adaptive weighted window was proposed. hhe new method improves the window setting method of the 2D Otsu, and the window size is adaplively determined by the local stationarity character. Then, the threshold is computed by the particle swarm algorithm, in order to improve the segmentation performance and shorten the computational time. Compared with the commonly-used oncdimensional Otsu, 2D Otsu method and linctype threshold 2D Otsu method, the proposed method has the better segmentation performance, with better performance for noise removal and small target preservation.

Key words: Two-dimensional Otsu, Adaptive weighted window, Particle swarm algorithm, Image thresholding segmentation