An approach for recognizing spatter dynamics and analyzing welding status based on spatter feature is proposed. A type 304 austenitic stainless steel plate is taken as a testing object for high-power disk laser bead-on-plate welding experiment. A high-speed camera is used to capture the ultraviolet band and visible light band spatter images. Image processing extracted spatter feature parameters， including centroid position， area， grayscale， average grayscale， and radius. Spatter searching information database and similarity functions are established based on spatter feature parameters to recognize the spatter， calculate spatter volume and grayscale， and evaluate the welding status. By comparing the weld seam width with the spatter feature information， the internal relation between the welding status and the spatter feature parameters is investigated. The test results of the relationship between spatter characteristics and welding state show that the weld width will decrease with the increase of spatter volume and gray value in the process of laser welding. It can be seen that the status of a high-power disk laser welding process could be monitored and evaluated through the spatter feature parameters.