Segmentation of farmland obstacle images based on intuitionistic fuzzy divergence

[1]  WU Cheng-mao Modifying Fuzzy Entropy and Its Application in Image Segmentation , 2008 .

[2]  刘刚 Liu Gang,et al.  Crop Recognition and Navigation Line Detection in Natural Environment Based on Machine Vision , 2014 .

[3]  Chandan Chakraborty,et al.  Development of Renyi's Entropy Based Fuzzy Divergence Measure for Leukocyte Segmentation , 2011 .

[4]  Francisco Chiclana,et al.  Consistency of 2D and 3D distances of intuitionistic fuzzy sets , 2012, Expert Syst. Appl..

[5]  A. K. Ray,et al.  Segmentation using fuzzy divergence , 2003, Pattern Recognit. Lett..

[6]  Tamalika Chaira,et al.  Accurate segmentation of leukocyte in blood cell images using Atanassov's intuitionistic fuzzy and interval Type II fuzzy set theory. , 2014, Micron.

[7]  F Universit Apple Disease Recognition Based on Compressive Sensing , 2013 .

[8]  Amit Konar,et al.  Automatic leukocyte nucleus segmentation by intuitionistic fuzzy divergence based thresholding. , 2014, Micron.

[9]  Humberto Bustince,et al.  Image segmentation using Atanassov's intuitionistic fuzzy sets , 2013, Expert systems with applications.

[10]  Bülent Sankur,et al.  Survey over image thresholding techniques and quantitative performance evaluation , 2004, J. Electronic Imaging.

[11]  Inés Couso,et al.  Divergence measure between fuzzy sets , 2002, Int. J. Approx. Reason..

[12]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .

[13]  Guy Lapalme,et al.  A systematic analysis of performance measures for classification tasks , 2009, Inf. Process. Manag..

[14]  R. Yager ON THE MEASURE OF FUZZINESS AND NEGATION Part I: Membership in the Unit Interval , 1979 .

[15]  Przemyslaw Grzegorzewski,et al.  Distances between intuitionistic fuzzy sets and/or interval-valued fuzzy sets based on the Hausdorff metric , 2004, Fuzzy Sets Syst..

[16]  R. Yager On a general class of fuzzy connectives , 1980 .

[17]  Mao Enrong,et al.  Agriculture extra-green image segmentation based on particle swarm optimization and k-means clustering. , 2009 .

[18]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[19]  Janusz Kacprzyk,et al.  Distances between intuitionistic fuzzy sets , 2000, Fuzzy Sets Syst..

[20]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[21]  Chee Peng Lim,et al.  Segmentation of gray scale image based on intuitionistic fuzzy sets constructed from several membership functions , 2014, Pattern Recognit..

[22]  A. T. Nieuwenhuizen,et al.  Performance evaluation of an automated detection and control system for volunteer potatoes in sugar beet fields , 2010 .

[23]  G. Meyer,et al.  Verification of color vegetation indices for automated crop imaging applications , 2008 .

[24]  Ronald R. Yager,et al.  On the Measure of Fuzziness and Negation. II. Lattices , 1980, Inf. Control..

[25]  Horst Bischof,et al.  Hough-based tracking of non-rigid objects , 2013, Comput. Vis. Image Underst..

[26]  Gonzalo Pajares,et al.  Automatic detection of crop rows in maize fields with high weeds pressure , 2012, Expert Syst. Appl..

[27]  Takashi Kataoka,et al.  Fruit detection system and an end effector for robotic harvesting of Fuji apples , 2010 .

[28]  Gonzalo Pajares,et al.  Automatic expert system for weeds/crops identification in images from maize fields , 2013, Expert Syst. Appl..

[29]  David C. Slaughter,et al.  Review: Automatic GPS-based intra-row weed knife control system for transplanted row crops , 2012 .

[30]  Jeremy S. Smith,et al.  Image pattern classification for the identification of disease causing agents in plants , 2009 .