| It is necessary to decrease detection time and improve detection precision of the cutting tools for the purpose of improving manufacture efficiency and precision in the NC (numerical control) machining center. With this reason, after comparing with the advantages and disadvantages of all kinds of cutting tools detection methods, this paper draw a conclution that cutting tools geometrical parameters measure system base on digital image processing technology has its unique superiority and a deep research is presented.The cutting tools geometrical parameters measure system base on digital image is made of photography department, optical lighting equipment, computer and software module. Software module is the focus of the whole system as well as it is the research emphases of this paper, for it is the key factor that influences the detection precision and efficiency. The working principle of this system is that CCD and image acquisition card get the digital image of cutting tools and transfer it into computer, then through the digital image proceing software, the computer finally outputs the geometrical parameters of cutting tools.Several image processing algorithms are maily discussed, induing cutting tools digital image pre-process, pixel edge detection, subpixel edge detection and geometrical parameters calculate methods, among them subpixel edge detection is the most important algorithem. Two kinds of subpixel edge detection method, spatial moment and Zernike moment, are presented in detail. Experimental results show that each of them has the characteristics of high precision and insensitive to noise.Furthermore, the current research situation and development trend of cutting tools detection technology are introduced, a realizable mainframe of the system is designed, all types of possible error in which bringed by the system software and hardware are analyzed, the actual measurement results are presented and the means to reduce or eliminate the errors are suggested. |
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