Research On Airthmetic Of Image Recognition Based On Side Slope’ Safety Detect

Side Slope safety is not only related to people’s lives and property safety, and alsothe question of national economic interests. Slope safety testing and an early warningof dangerous situations are a primary and effective mean to successfully avoid theslope disasters. Current displacement detection of slope surface is effective and widelyused in the detection of slope safety. Global Positioning System-directional technologyis expensive professional instrument, apparatus, maintenance difficulties.With the development of machine vision technology in recent years, imagerecognition technology is to get more attention and more applications in theengineering field. Using image processing techniques to identify the tortillas image ofthe slope is a premise of intelligent detection of slope safety. For the above reasons,industrial digital camera obtain the slope of the characteristic round cake image, thenusing the digital image recognition technology to measure the slope surfacedisplacement. In this paper, the algorithm is for the ultimate realization of the slopesafety smart detection system to make the basic work.Based on the above research ideas will be the following two aspects:①Design digital image detection of slope safety processesDesign slope safety intelligent detection is based on image recognition technology,including hardware, software design and configuration of the system, that needs toinclude intelligent detection system workflow-the slope draw a red circle pie, digitalphotography tortillas image transfer the tortillas image to the control center computer,using image recognition technology to deal with identification round cake images tocalculate the rate of change and determine early warning;②Research slope image recognition algorithmIn order to effectively extract the image of a round cake, this study describedtoday’s academia common operator and compare obtained more satisfied with theeffect of image edge detection operator, Canny operator seeds to extract the imageedge of the round cake to get the edge is smooth, accurate, and not susceptible to noiseinterference characteristics. This article selection of the Canny operator to extract theimage edges, and has prepared a further image feature extraction. After treatment of the round cake in the image, the algorithm of this paper, three of the round cake wasextracted image characteristics (area, the center of coordinates), and further proposedto determine the individual rate of change with the overall rate of change of slopesafety...