首先,你需要确保已安装NumPy和OpenCV。可以通过以下命令进行安装: pipinstallnumpy opencv-python 1. 代码示例 以下是一个实现区域生长算法的示例代码: importcv2importnumpyasnpdefregion_growing(image,seed,threshold):# 图像尺寸height,width=image.shape[:2]# 创建一个掩膜,对于已经被处理的像素进行标记mask=np.ze...
2018 CVPR之语义分割:Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing 特征对目标的类间特征不具有很强的鲁棒性,传统的SRG算法通常存在过度分割的现象。 因此本文将SRG集成到深度分割网络中进行弱监督语义分割,称为DSRG,由于区域生长需要规定一个相似性准侧来判别生长区域... cues,像素...
基于种子区域生长的激光线段特征提取介绍A line segment extraction algorithm using laser data based on seeded region growing open source 摘要:本次将介绍一种基于种子区域生长的激光线段特征提取方法,种子区域生长在图像处理中得到了广泛的应用。所要介绍的方法将不同于线段跟踪、霍夫变换和分割合并等等,总的步骤 ...
A region-growing segmentation algorithm based on the combination of multiple sub-pixels and point cloud coordinates is proposed in this paper for the above purpose. This method is implemented using Python and OpenCV open-source libraries. Through image cropping, threshold segmentation, point cloud ...