location:Home > 2020 Vol.3 Apr. No.2 > Research on edge contour information extraction method of medical device ultrasonic image

2020 Vol.3 Apr. No.2

  • Title: Research on edge contour information extraction method of medical device ultrasonic image
  • Name: Baoping Gu
  • Company: Information engineering college,Zhengzhou Vocational University
  • Abstract:

    The result of the extraction of the edge and contour information of the multifunctional digital ship image directly affects the evaluation and recognition of the subsequent image quality. At present, the common method used to extract the edge contour information is based on the Canny operator, and there is a problem that the edge is not clear. In order to obtain more accurate edge information, a method of extracting edge and contour information of multimedia digital image based on

  • Keyword: multifunctional digital image; edge and contour information; extraction;
  • DOI: 10.12250/jpciams2020020221
  • Citation form: Baoping Gu.Research on edge contour information extraction method of medical device ultrasonic image[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 108-115.
Reference:

[1] Tandon R, Simeone O. Harnessing cloud and edge synergies: toward an information theory of fog radio access networks [J]. IEEE Communications Magazine, 2016, 54(8):44-50.
[2] Kuo P C, Lu K H, Hsu Y N, et al. Fast three-dimensional video coding encoding algorithms based on edge information of depth map[J]. Iet Image Processing, 2015, 9(7):587-595.
[3] Cheng B N, Kuperman G, Deutsch P, et al. Group-centric networking: addressing information sharing requirements at the tactical edge[J]. IEEE Communications Magazine, 2016, 54(10):145-151.
[4] Wen S, Haghighi M S, Chen C, et al. A Sword with Two Edges: Propagation Studies on Both Positive and Negative Information in Online Social Networks[J]. IEEE Transactions on Computers, 2015, 64(3):640-653.
[5] Liu X F, Yao X R, Lan R M, et al. Edge detection based on gradient ghost imaging[J]. Optics Express, 2015, 23(26):33802.
[6] Tseng C S, Wang J H. Perceptual edge detection via entropy-driven gradient evaluation[J]. Iet Computer Vision, 2016, 10(2):163-171.
[7] Hidalgogato M C, Barbosa V C F. Edge detection of potential-field sources using scale-space monogenic signal: Fundamental principles[J]. Geophysics, 2015, 80(5):J27–J36.
[8] Hidalgogato M C, Barbosa V C F. Edge detection of potential-field sources using scale-space monogenic signal: Fundamental principles[J]. Geophysics, 2015, 80(5):J27–J36.
[9] Liu X, Fang S. A convenient and robust edge detection method based on ant colony optimization[J]. Optics Communications, 2015, 353(8):147-157.
[10] Gardiner B, Coleman S A, Scotney B W. Multiscale Edge Detection Using a Finite Element Framework for Hexagonal Pixel-Based Images[J]. IEEE Transactions on Image Processing, 2016, 25(4):1-1.
[11] Zheng Y, Zhou Y, Zhou H, et al. Ultrasound image edge detection based on a novel multiplicative gradient and Canny operator.[J]. Ultrasonic Imaging, 2015, 37(3):238-50.
[12] Sharma B, Mahajan P. Latest trend of variation of EDGE detection and object detection with pixel level variation and their comparison algorithms[J]. Genetic Epidemiology, 2015, 35(7):606-19.
[13] Tschirhart P, Morris B. Improved edge detection mapping through stacking and integration: a case study in the Bathurst Mining Camp[J]. Geophysical Prospecting, 2015, 63(2):283-295.
[14] Qu Z, Fang X, Su H, et al. Measurements for displacement and deformation at high temperature by using edge detection of digital image.[J]. Applied Optics, 2015, 54(29):8731.
[15] Any support wen-quan zeng, ai-min yu. An effective medical noisy image edge detection method [J]. Journal of electronic design engineering, 2016, 24 (10) : 180-183.

Tsuruta Institute of Medical Information Technology
Address:[502,5-47-6], Tsuyama, Tsukuba, Saitama, Japan TEL:008148-28809 fax:008148-28808 Japan,Email:jpciams@hotmail.com,2019-09-16