自适应阈值法的舰船图像自动分割

Automatic segmentation of ship image based on adaptive threshold method

图像分割是视觉检测领域中的重要环节。由于舰船环境和图像数据的复杂性,现阶段舰船图像自动分割技术中的抗光照性能差、精度低以及边缘模糊等问题仍普遍存在。如何有效完成对舰船图像进行自动分割成为一大难题。为了有效解决上述问题,对当前图像分割方法进行深入的研究和调查,提出通过自适应阈值法的舰船图像自动分割方法,在总结和分析了现有自适应阈值分割算法存在的优点和局限性后,给出了自适应阈值图像分割法的改进方案,以便从复杂的舰船图像背景中分离出目标区域,有效解决当前图像分割技术中光照不均匀、边缘模糊等问题。为验证方法有效性进行了仿真实验,实验结果证实该方法性能效果相对较好,充分满足对复杂舰船图像进行分割的设计目标。

Image segmentation is an important link in the field of vision detection. at present, the ship image segmentation technology has the problems of low segmentation accuracy, poor anti-light uneven performance, weak universality,fuzzy edge and so on. Aiming at the above problems, the paper deeply studies the adaptive threshold algorithm, summarizes and analyzes the advantages and limitations of the existing adaptive threshold segmentation algorithm, and gives the improvement scheme Simulation experiments are carried out to verify the effectiveness of the proposed method. the experimental results show that the performance of the proposed method is relatively high, which fully satisfies the design goal of segmenting complex ship images.