A Study of Workpiece Targeting Based on Improved Blob Analysis

In order to meet the accurate positioning of the target workpiece by the industrial robot and obtain the workpiece coordinate information. In this paper, taking a circular workpiece as an example, a targeting study based on the Blob analysis algorithm is presented. Image threshold segmentation, connectivity analysis and other methods are used to complete the positioning of the workpiece target. To further improve the target localization accuracy, edge detection operators and curve fitting methods are introduced to improve the original Blob analysis algorithm. The experimental results show that this method can obtain the coordinate information of the target workpiece more accurately, and the accuracy can meet the robotic grasping needs of the industrial field.