Segmentation algorithm based on color feature for green crop plants

Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Volumn 27, Issue 7, 2011, Pages 183-189

  Zhang, Zhibin ^a   Luo, Xiwen ^b   Zang, Ying ^b   Hou, Fuxiang ^c   Xu, Xiaodong ^a  

^a Mongolia University   (China)

^b SOUTH CHINA AGRICULTURAL UNIVERSITY   (China)

^c College of Energy and Transport Engineering Inner Mongolia University ^*  (China)

Author keywords

Agricultural machinery; Green vegetation; Image segmentation; Machine vision; Navigation

Indexed keywords

B VALUE; BACKGROUND NOISE; COLOR CONSTANT; COLOR FEATURES; CROP PLANTS; CROP ROWS; ERROR RATIO; G-VALUES; GREEN COMPONENT; GREEN PLANTS; GREEN VEGETATION; ILLUMINATION MODELS; MORPHOLOGICAL FEATURES; R VALUE; RGB SPACE; SEGMENTATION ALGORITHMS; SEGMENTATION ERROR; SEGMENTED IMAGES; VARIANCE ANALYSIS; VISION SYSTEMS;

AGRICULTURAL MACHINERY; ALGORITHMS; COMPUTER VISION; CROPS; EXPERIMENTS; FEATURE EXTRACTION; VEGETATION;

IMAGE SEGMENTATION;

EID: 80051822850     PISSN: 10026819     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1002-6819.2011.07.032     Document Type: Article

References (18)

1. Andersen, Granum H. Classifying illumination condition from two light sources by colour histogram assessment[J]. J. Optical Soc. Am. A, 2000, 17(4): 667-676.
2. Marchant J, Andersen H, Onyango C. Evaluation of an imaging sensor for detecting vegetation using different waveband combination[J]. Computer and Electronics in Agriculture, 2001, 32(2): 101-117.
3. Onyango C, Marchant J. Physics-based colour image segmentation for scenes containting vegetation and soil[J]. Image and Vision Computing, 2001, 19(8): 523-538.
4. Sogaard H T, Olsen H J. Determination of crop rows by image analysis without segmentation[J]. Computers and Electronics in Agriculture, 2003, 38(2): 131-158.
5. Bunting P, Lucas R. The delineation of tree crowns in Australian mixed species forests using hyperspectral compact airborne spectrographic imager (CASI) data[J]. Remote Sensing of Environment, 2006, 101(2): 230-248.
6. Zhang Zhibin, Luo Xiwen, Liqing, et al.. New algorithm for machine vision navigation of farm machine based on well-ordered set and crop row structure[J]. Transactions of the CSAE, 2007, 23(7): 122-126.
7. Gee Ch, Bossu J, Jones G, et al. Crop/weed discrimination in perspective agronomic images[J]. Computers and Electronics in Agriculture, 2008, 60(1): 49-59.
8. Astrand B, Baerveldt A. An agricultural mobile robot with vision-based perception for mechanical weed control[J]. Autonomous robots, 2002, 13(1): 21-35.
9. Lei F T, David C. Environmentally adaptive segmentation algorithm for outdoor image segmengtation[J]. Computer and Electronics in Agriculture, 1998, 21(3): 153-168.
10. 2006, 6(4): 1-4.
11. George E M, Joao Camargo Neto. Verification of color vegetation indices for automated crop imaging applications[J]. Computer and Electronics in Agriculture, 2008, 63(2): 282-293.
12. Liying Zheng, Jingtao Zhang, Qianyu Wang. Mean-shift-based color segmentation of images containing green vegetation[J]. Computer and Electronics in Agriculture, 2009, 65(1): 93-98.
13. Shafer S. Using color to separate reflection components[J], Color Research and Application, 1985, 10(4): 210-218.
14. Onyango C, Marchant J. Physics-based colour image segmentation for scenes containting vegetation and soil[J]. Image and Vision Computing, 2001, 19(8): 523-538.
15. Shashi D, Buluswar, Bruce A, et al. Color machine vision for autonomous vehicles[J]. Engineering Applications of Artificial intelligence, 1998, 11(2): 245-256.
16. Bergasa L, Duffy N, Lacey G, et al. Industrial inspection using Gaussian functions in a color space[J]. Image and Vision Computing, 2000, 18(12): 951-957.
17. Luo Xiwen, Zhang Zhibin. Application of Machine Vision Guidance in Agricultural Mobile Platform[D]. Guangzhou: South China Agricultural University, 2005.
18. Luo Xiwen, Zhang Zhibin. Study on Vision-Based Navigation Algorithm for Agricultural Machine[D]. Guangzhou: South China Agricultural University, 2008.