Edge Detection Algorithm Based on Texture Blocks

Traditional edge detection algorithms affect the performance of the edge detection results based on the setting of the threshold value. Setting the threshold value too high may cause a loss of edge texture with a smaller gradient value. Setting the threshold value too low may cause excessive noise retention. To effectively overcome the problems caused by an inappropriate threshold setting, this paper summarizes and classifies a series of textural changes by observing the changes in the edge texture, and uses block mode to assemble the edges of the construction objects. Experimental results show that, compared with a traditional edge detection method, the proposed method not only excludes the possible problems caused by the threshold setting, it can also detect more abundant edge information.