基于胸环靶图像灰度特点的有效靶面提取算法

分析了室外复杂环境下自动报靶系统采集的胸环靶图像特点。提出基于图像灰度特点的有效靶面提取算法。将彩色图像灰度化,提取图像的边缘;对灰度图像进行平滑处理,并进行阈值分割;联合图像边缘和阈值分割结果,提取最大连通区,进行合适的形态学处理即可获得有效靶面区域;根据靶面区域映射出有效靶面,并裁剪合适的尺寸。算法能准确地定位完整的靶面区域,不受胸环靶颜色的限制;且对复杂环境有很强的适应性,在绝大多数的室外环境下都适用。

An Effective Target Extraction Algorithm Based on Gray Characteristics of the Image of a Chest Silhouette

Analyzing the characteristics of target images collected by automatic target scoring system under complex environment outdoor, put forward an effective target extraction algorithm based on gray characteristics. Transform a RGB image to the gray image, extract edges in the image; then smoothen the gray image and segment the image with a threshold; combining the edges with segmentation results, extract the maximum connected region, then performing some appropriate morphological processing can obtain the effective target area; according to the target area the effective target image can be obtained, then cut the image into an appropriate size. This algorithm can accurately locate the target area, without the constraint of the color in target, and adaptable to the complicated environment, which are applicable in most environments outdoor.