Laser & Optoelectronics Progress, Volume. 60, Issue 12, 1210004(2023)

Improved Maize Plant Contour Extraction Method

Jinxin Liang1,2, Le Zhang3, Yuyao Meng1,2, Jie Teng1,2, Quanling He1,2, Leiyang Fu1,2, and Shaowen Li1,2、*
Author Affiliations
  • 1School of Information & Computer, Anhui Agricultural University, Hefei 230036, Anhui, China
  • 2Anhui Provincial Key Laboratory of Smart Agricultural Technology and Equipment, Hefei 230036, Anhui, China
  • 3Anhui Electric Power Transmission and Transformation Co. Ltd., Hefei 230036, Anhui, China
  • show less
    Figures & Tables(10)
    Flow chart of maize contour extraction
    Robot experimental platform
    Experimental maize plant images. (a) One bud with three leaves 30°; (b) one bud with three leaves 45°; (c) one bud with three leaves 45°; (d) one bud with four leaves 15°
    Comparison of different algorithms
    Effect of each contour extraction algorithm. (a)HSV; (b) proposed method; (c) HSV after noise reduction; (d) proposed method after noise reduction
    • Table 0. [in Chinese]

      View table

      Table 0. [in Chinese]

      Algorithm 1 RANSAC

      Inputs:Dataset K

       1:Initialize dataset K

       2:Initialize expected iterations N

       3:for N from 0 to n-1 do

       4: Repeat

       5:  Randomly select m samples from Dataset K for model fitting

       6:  Selected range ɛ as the fitting interval

       7:  Count the number Nnum of points in interval ɛ

       8:  If

       9:   Nnum greater than an acceptable threshold t,refitting the data sample points

      10:  Otherwise

      11:   Set the current model M as the best model

      12:   End algorithm

      13: Until n is not less than the present termination times

      14:Set model M in the model set Mn,which with the smallest fitting error in the previous step as the best model

      Output:Model M

    • Table 1. Comparison of the time, the number of feature points, the number of matching, and the accuracy of each algorithm

      View table

      Table 1. Comparison of the time, the number of feature points, the number of matching, and the accuracy of each algorithm

      AlgorithmTime /sKeypoints 1Keypoints 2Nc/NsRc /%
      SIFT1.29317011611/5022.00
      SURF1.84566023828/5056.00
      ORB0.63879460932/5064.00
      F-B0.53438428242/5084.00
    • Table 2. Comparison of the time, the number of feature points, the number of matching, and the accuracy of each algorithm

      View table

      Table 2. Comparison of the time, the number of feature points, the number of matching, and the accuracy of each algorithm

      AlgorithmTime /sKeypoints 1Keypoints 2Nc/NsRc /%
      SIFT2.2283088723/5046.00
      SURF3.912227695739/5078.00
      ORB1.15780080026/5052.00
      F-B0.80281858543/5086.00
    • Table 3. Proportion and difference of different methods in each contour extraction algorithm

      View table

      Table 3. Proportion and difference of different methods in each contour extraction algorithm

      AlgorithmCannySobelLaplacianRobertsPrewitt
      Rp2.017.182.296.497.47
      RHSV1.336.442.135.556.11
      Cd0.680.740.160.941.36
    • Table 4. Proportion and difference of different methods in each contour extraction algorithm 2

      View table

      Table 4. Proportion and difference of different methods in each contour extraction algorithm 2

      AlgorithmCannySobelLaplacianRobertsPrewitt
      Rp1.537.952.407.097.89
      RHSV1.307.712.156.827.40
      Cd0.230.240.250.270.49
    Tools

    Get Citation

    Copy Citation Text

    Jinxin Liang, Le Zhang, Yuyao Meng, Jie Teng, Quanling He, Leiyang Fu, Shaowen Li. Improved Maize Plant Contour Extraction Method[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1210004

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Jan. 17, 2022

    Accepted: Jun. 13, 2022

    Published Online: Jun. 5, 2023

    The Author Email: Li Shaowen (shwli@ahau.edu.cn)

    DOI:10.3788/LOP220561

    Topics