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Journals >
Laser & Optoelectronics Progress >
Volume 57 >
Issue 8 >
Page 081017 > Article
Laser & Optoelectronics Progress
Vol. 57, Issue 8, 081017 (2020)
Multi-Scale Segmentation for Ridge Row in Vision Navigation
Jiehao Chen and Honghai Jiang
*
Author Affiliations
Department of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
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DOI:
10.3788/LOP57.081017
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Jiehao Chen, Honghai Jiang. Multi-Scale Segmentation for Ridge Row in Vision Navigation[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081017
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Fig. 1.
Images of ridge row
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Fig. 2.
Structure of Gaussian pyramid
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Fig. 3.
Gaussian difference algorithm
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Fig. 4.
Multi-scale feature image group of normalized ridge row
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Fig. 5.
Images of divided ridge row.(a) Distribution of feature matrix value of upper ridge row; (b) distribution of feature matrix value of middle ridge row; (c) segmentation of upper ridge row; (d)segmentation of middle ridge row
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Fig. 6.
Segmentation effect comparison of ridge row . (a) Original images; (b) MsSegN3 algorithm; (c) MsSegN6 algorithm; (d) PosOtsu algorithm; (e) KGFCM algorithm
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Fig. 7.
Number of eight connected domain in the segmentation results of each algorithm
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Fig. 8.
Algorithm running time with different values of
N
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Weight
Octave1
Otave2
Octave3
Octave4
Octave5
Octave6
Octave7
w
h
(
o
')
0
0.1
0.3
0.5
0.3
0
0
w
m
(
o
')
0
0
0.1
0.3
0.5
0.2
0.05
Table 1.
Feature images weight table for different octaves of ridge row
Weight
Octave1
Otave2
Octave3
Octave4
Octave5
Octave6
Octave7
w
h1
(
o
')
0
0.3
0.5
0.3
0
0
0
w
h2
(
o
')
0
0
0.3
0.5
0.3
0
0
w
m1
(
o
')
0
0
0.1
0.4
0.4
0.1
0
w
m2
(
o
')
0
0
0
0.2
0.3
0.5
0
Table 2.
Feature images weight table for different octaves of ridge row
Abstract
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Jiehao Chen, Honghai Jiang. Multi-Scale Segmentation for Ridge Row in Vision Navigation[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081017
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Paper Information
Category: Image Processing
Received: Aug. 12, 2019
Accepted: Sep. 16, 2019
Published Online: Mar. 30, 2020
The Author Email: Jiang Honghai (836078614@qq.com)
DOI:
10.3788/LOP57.081017
Recommended Topics
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