Advanced Search

ISSN1001-3806 CN51-1125/TN Map

Volume 39 Issue 2
Dec.  2014
Article Contents
Turn off MathJax

Citation:

A simple corner detection algorithm for laser marking

  • Corresponding author: XIE Yuelei, ylxie_guet@126.com
  • Received Date: 2014-03-31
    Accepted Date: 2014-05-04
  • In order to improve corner detection probability and obtain satisfactory marking quality in laser marking systems, a corner detection algorithm based on slope difference was proposed and theoretical analysis and experimental verification were carried out. After calculating the slopes of adjacent points, the corner points were picked up in terms of slopes difference. The simulation results show that the proposed algorithm can achieve accurate corner points with less computation complexity compared with the traditional algorithms. This algorithm can solve inflection point processing problems in the traditional marking systems, save storage space and reduce the computational complexity in the process of extracting image inflection points.
  • 加载中
  • [1]

    KUANG Y, WU Y F, WU B, et al. Extraction and optimization of marking path in laser marking systems[J]. Laser Technology, 2012, 36(1): 131-134(in Chinese).
    [2]

    PENG L Y, WANG X Y, ZHOU J T, et al. Polynomial fitting correction of galvanometer geometric distortion error in laser marking[J]. Laser Technology, 2013, 37(5): 601-604(in Chinese).
    [3]

    ZHOU Y F, ZHAO H F, HUANG Z Q. Laser lithography system and its technological research[J]. Electronic Design Engineering, 2011, 19(2): 126-129(in Chinese).
    [4]

    DIACI J, BRAČUN D, GORIČ A, et al. Rapid and flexible laser marking and engraving of tilted and curved surfaces[J]. Optics and Lasers in Engineering, 2011, 49(2): 195-199.
    [5]

    TANG H B. Laser printer marking quality and marking quality assessment standard research[D]. Chengdu:University of Electronic Science and Technology of China,2012:1-12(in Chinese).
    [6]

    LUO P, WU Y F, YUE S, et al.Polygonal approximating algorithm of digital curves for bitmap laser marking[J].Laser Technology, 2011, 35(3): 372-375(in Chinese).
    [7]

    SUN C B,LI Y K,ZHANG Z H.The preliminary study of image segmentation based on douglas-peucker algorithm[J]. Geomatics & Spatial Information Technology, 2012,35(5):33-35(in Chinese).
    [8]

    SONG X M, CHENG C X, ZHOU C H. An analysis and investigation of algorithms for identifying convexity-concavity of a simple polygon[J]. Remote Sensing for Land & Resources, 2011(3):25-31(in Chinese).
    [9]

    SONG X, CHENG C, ZHOU C, et al. Gestalt-based douglas-peucker algorithm to keep shape similarity and area consistency of polygons[J]. Sensor Letters, 2013, 11(6/7): 6-7.
    [10]

    MA J, XU S, PU Y, et al. A real-time parallel implementation of Douglas-Peucker polyline simplification algorithm on shared memory multi-core processor computers[C]//Computer Application and System Modeling (ICCASM), 2010 International Conference.New York,USA:IEEE, 2010:647-652.
    [11]

    LI S, FANG Y M, XI W F.Rapid compression algorithm based on the No topological vector curve[J]. Science Technology and Engineering, 2011,11(18): 4324-4327(in Chinese).
    [12]

    WANG H X, ZHU X G.Based on the slope change indirect algorithms to extract contour feature points[J].Software Guide,2010,9(11):66-67(in Chinese).
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article views(2965) PDF downloads(520) Cited by()

Proportional views

A simple corner detection algorithm for laser marking

    Corresponding author: XIE Yuelei, ylxie_guet@126.com
  • 1. School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China

Abstract: In order to improve corner detection probability and obtain satisfactory marking quality in laser marking systems, a corner detection algorithm based on slope difference was proposed and theoretical analysis and experimental verification were carried out. After calculating the slopes of adjacent points, the corner points were picked up in terms of slopes difference. The simulation results show that the proposed algorithm can achieve accurate corner points with less computation complexity compared with the traditional algorithms. This algorithm can solve inflection point processing problems in the traditional marking systems, save storage space and reduce the computational complexity in the process of extracting image inflection points.

Reference (12)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return