Design of thresholding segmentation operator with high precision self-adaptive capacity
高精度自适应阈值分割算子的设计

Focusing on the problems about low precision and self-adaptive capacity in the identification of target area under complicated background, a new thresholding segmentation algorithm with self-adaptive capacity and high precision was introduced in the test after the investigation of texture image and the space area form rule. Results demonstrate that the algorithm has fine self-adaptive capacity. Particularly in random texture images with higher energy distribution, a high precision could be obtained with this algorithm.