Study On The Fast Extraction Of The Edge Of Canny Operator Cutter

The technology of machine vision is a new cross subject, it uses the computer realizationof cognition of the three dimensional world.Machine vision subjects involved is veryextensive, including artificial intelligence, neural biology, psychophysics, computer science,image processing, pattern recognition.Its main features are high precision, fast speed, stronganti-interference ability and flexible application.Machine vision is used in microelectronics,electronics, automotive, medical, printing, packaging, scientific research, military and manyother industries. In the rapid development of computer technology today, with the continuousexpansion of the scope of application of the machine vision, a large number of sophisticatedimage processing algorithms following, at the same time the algorithm consumes timebecomes longer and longer.At present most of the use of machine vision application is written by“C#language+image processing toolkit”model, this model can be developed measuring system fastly, butthis model is not conducive to research new image processing algorithm.If write imageprocessing algorithm program directly, running speed is more slowly.This research is basedon the intelligent tool setting gauge project, aiming at shortcomings of research on imageprocessing algorithms to prepare slow compared to how to improve the speed of digital imageprocessing,the research content is as follows:1、The Canny operator are widely applied in robot vision for its accuracy,there is noexception in the intelligent tool setting instrument project. This paper takes the classicalCanny algorithm as the research object, research is different from other operators on Cannyadaptive improvement, this study focuses on the Canny operator is the running timeoptimization, from the computer data structure theoretical analysis of the time complexity ofCanny operator, improves the Canny operator to reduce the complexity of time.Extractimage edge and gradient direction of the pixel point and analysis, look for a relatively shortrunning time of the algorithm for the image edge and nearby points extracted, then use the idea of Canny algorithm to calculate the image edge accurately.2、Improve Canny operator to code optimization, comparison of.NET platform comparedC#language image processing efficiency high memory method and the pointer by two kindsof methods of memory method, Canny operator code into the pointer method, and study thestorage method of pixels in the extraction, improve the image pixel traversal and calculationspeed.3、the thesis focuses on the study on the parallel technology, investigated two ways ofparallel computing in digital image processing, with C#language in.NET platform to achievethe parallel computing of the Canny operator, which greatly improves the efficiency of itsoperation.4、The paper finally has carried on the summary of the work, and the inadequacies of thestudy were discussed. Research papers for Cloud Computing in the possibility of applyingCNC tool of image processing, and image processing of CNC tool in cloud computingsimulations were performed on a single machine.