一种复杂图像目标的分割与识别

研究受光照等因素影响的表面灰度随机变化的空中图像目标的分割与识别。提出了改进的多阈值八邻域像素比较边缘检测算法,对得到的边缘像素进行填充,并在跟踪过程中消除轮廓上的短枝及图像干扰,最后采用快速多边形近似算法,用多边形顶角及目标形状因子作为特征对目标进行识别。

An Approach to Complex Target Segmentation and Recognition

To investigate the segmentation and recognition of complex target whose gray has stochastic distribution, a new edge detection method, which used the gray levels of the pixel to compare with those of its eight neighbors, was presented to segment the target. After filling in the edge pixels and eliminating image disturbances, a fast polygon approximation algorithm was implemented to get the polygon of the target with fixed angles for recognition. The approach solved the difficulty of segmening such a complex image and got a good result of segmentation and recognition. It is effective and robust to detect the edge and recognize the target with the approach presented above.