Segmentation on Ripe Fuji Apple with Fuzzy 2D Entropy based on 2D histogram and GA Optimization

References

• Zhao , D.-A. , Lv , J. , Ji , W. , Zhang , Y. and Chen , Y. 2011 . Design and control of an apple harvesting robot . Biosystems Engineering , 110 ( 2 ) : 112 – 122 .
   Google Scholar
• Safren , O. , Alchanatis , V. , Ostrovsky , V. and Levi , O. 2007 . Detection of green apples in hyperspectral images of apple-tree foliage using machine vision . Transactions of the ASABE , 50 ( 6 ) : 2303 – 2313 .
   Google Scholar
• Peterson , D. L. , Bennedsen , B. S. , Anger , W. C. and Wolford , S. D. 1999 . A systems approach to robotic bulk harvesting of apples . Transactions of the ASAE , 42 ( 4 ) : 871 – 876 .
   Google Scholar
• Bulanon , D. M. , Kataoka , T. , Okamoto , H. and Hata , S. 2004b . “ Determining the 3-D location of the apple fruit during harvest ” . In Proceedings of the International Conference on Automation Technology for Off-road Equipment 91 – 97 .
   Google Scholar
• Bulanon , D. M. , Kataoka , T. , Okamoto , H. and Hata , S. 2004a . “ Development of a real-time machine vision system for the apple harvesting robot ” . In SICE Annual Conference in Sapporo 595 – 598 . Hokkaido Institute of Technology, Japan
   Google Scholar
• Mao , W. , Ji , B. , Zhan , J. , Zhang , X. and Hu , X. 2009 . “ Apple location method for the apple harvesting robot ” . In Proceedings of the 2009 2nd International Congress on Image and Signal Processing 2336 – 2340 . Tianjin, P.R. China
   Google Scholar
• Wang , J.-J. , Zhao , D.-an , Ji , W. , Tu , J.-jun and Zhang , Y. 2009 . “ Application of support vector machine to apple recognition using in apple harvesting robot ” . In Proceedings of the 2009 IEEE International Conference on Information and Automation 1110 – 1115 . Zhuhai/Macau, China
   Google Scholar
• Stajnko , D. , Lakota , M. and Hocevar , M. 2004 . Estimation of number and diameter of apple fruits in an orchard during the growing season by thermal imaging . Computers and Electronics in Agriculture , 42 : 31 – 42 .
   Web of Science ®Google Scholar
• Bulanon , D. M. , Kataoka , T. , Ota , Y. and Hiroma , T. 2002 . A segmentation algorithm for the automatic recognition of fuji apples at harvest . Biosystems Engineering , 83 ( 4 ) : 405 – 412 .
   Google Scholar
• Rakun , J. , Stajnko , D. and Zazula , D. 2011 . Detecting fruits in natural scenes by using spatial-frequency based texture analysis and multiview geometry . Computers and Electronics in Agriculture , 76 ( 1 ) : 80 – 88 .
   Web of Science ®Google Scholar
• Blasco , J. , Aleixos , N. and Molto , E. 2007 . Computer vision detection of peel defects in citrus by means of a region oriented segmentation algorithm . Journal of Food Engineering , 81 ( 3 ) : 535 – 543 .
   Google Scholar
• Steward , B. L. , Tian , L. F. , Nettleton , D. and Tang , L. 2004 . Reduced-dimension clustering for vegetation segmentation . Transactions of the American Society of Agricultural Engineers , 47 ( 2 ) : 609 – 616 .
   Google Scholar
• Bulanon , D. M. , Burks , T. F. and Alchanatis , V. 2009 . Image fusion of visible and thermal images for fruit detection . Biosystems Engineering , 103 ( 2 ) : 12 – 22 .
   Google Scholar
• Parsons , N. R. , Edmondson , R. N. and Song , Y. 2009 . Image analysis and statistical modeling for measurement and quality assessment of ornamental horticulture crops in glasshouses . Biosystems Engineering , 104 ( 2 ) : 161 – 168 .
   Google Scholar
• Sen , D. and Pal , S. K. 2009 . Histogram thresholding using fuzzy and rough measures of association error . IEEE Transactions on Image Processing , 18 ( 4 ) : 879 – 888 .
   PubMed Web of Science ®Google Scholar
• Cheng , H. D. , Chen , Y.-H. and Sun , Y. 1999 . A novel fuzzy entropy approach to image enhancement and thresholding . Signal Processing , 75 ( 3 ) : 277 – 301 .
   Google Scholar
• Tao , W.-B. , Tian , J.-W. and Liu , J. 2003 . Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm . Pattern Recognition Letters , 24 ( 16 ) : 3069 – 3078 .
   Web of Science ®Google Scholar
• Shi , Y. and Eberhart , R. 1998 . “ A modified particle swarm optimizer ” . In IEEE International Conference on Evolutionary Computation Proceedings 69 – 73 . IEEE World Congress on Computational Intelligence
   Google Scholar
• Tao , W. B. , Jin , H. and Liu , L. M. 2007 . Object segmentation using ant colony optimization algorithm and fuzzy entropy . Pattern Recognition Letters , 28 : 788 – 796 .
   Web of Science ®Google Scholar
• Benabdelkader , S. and Boulemden , M. 2005 . Recursive algorithm based on fuzzy 2-partition entropy for 2-level image thresholding . Pattern Recognition , 38 ( 8 ) : 1289 – 1294 .
   Google Scholar
• Tang , Y. , Mu , W. , Zhang , Y. and Zhang , X. 2011 . A fast recursive algorithm based on fuzzy 2-partition entropy approach for threshold selection . Neurocomputing , 74 : 3072 – 3078 .
   Google Scholar
• Wang , J. 2012 . Improved Genetic Algorithm Based 2-D Maximum Entropy Image Segmentation Algorithm . Advances in Intelligent and Soft Computing , 169 ( 2 ) : 529 – 534 .
   Google Scholar
• Tan , S. , Zhu , A. and Yang , S. X. 2009 . “ A GA-based fuzzy logic approach to mobile robot navigation in unknown dynamic environments with moving obstacles ” . In IEEE International Conference on Granular Computing 529 – 534 .
   Google Scholar
• Li , H. and Yang , S. X. 2003 . A behavior-based mobile robot with a visual landmark-recognition system . IEEE-ASME Transactions on Mechatronics , 8 ( 3 ) : 390 – 400 .
   Google Scholar
• Yang , S. X. , Wang , X. and Shi , W. 2006 . A GA optimized fuzzy control of a mobile robot . Dynamics of Continuous Discrete and Impulsive Systems-Series B-Applications & Algorithms , 13 : 404 – 408 .
   Google Scholar
• Tazawa , I. , Koakutsu , S. and Hirata , H. 1998 . An evolutionary optimization based on the immune system and its application to the VLSI floor-plan design problem . Electrical Engineering in Japan , 124 ( 4 ) : 821 – 828 .
   Google Scholar
• Yin , H. , Chai , Y. , Yang , S. X. and Mittal , G. S. 2009 . “ Ripe tomato extraction for a harvesting robotic system ” . In Proceedings of the 2009 IEEE International Conference on Systems, Man and Cybernetics 2984 – 2989 . San Antonio, TX, USA
   Google Scholar
• Syahrir , W. M. , Suryanti , A. and Connsynn , C. 2009 . “ Color grading in tomato maturity estimator using image processing technique ” . In 2nd IEEE International Conference on Computer Science and Information Technology (ICCSIT 2009) 276 – 280 . Beijing, China
   Google Scholar
• Cheng , H. D. , Chen , Y. H. and Jiang , X. H. 2000 . Thresholding using two-dimensional histogram and fuzzy entropy principle . IEEE Transactions on Image Processing , 9 ( 4 ) : 732 – 735 .
   PubMedGoogle Scholar