Various approaches of color feature extraction in leaf diseases under image processing: a survey

  • Authors

    • Umapathy Eaganathan
    • Dr S. Prasanna
    • Dr Sripriya
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.15481
  • Color Feature Extraction, Color Models, Feature Extraction, Leaf Images.
  • The detection of plant leaf disease is one of the major challenging tasks to prevent serious outbreak in the field of agriculture. Feature Ex-traction is one of the important techniques in digital image processing for simplifying the amount of resources required to explain a bulk set of data accurately. In image processing, image features normally include color, shape and texture features. Some researches made combina-tion of color and texture features used to recognize and classify leaf diseases. Mostly color is a widely used features obtained by different methods in feature extraction and respectively used to distinguish diseases in leaf. One of the difficulty in feature extraction based on color consumes more time to identify or classify the diseased part is the tricky one. The diseased leaf not exactly identified from its characteristics so the color feature extraction technique is used to identify the optimum that could differentiate between the target object and background of the leaves. Various color model combinations has been followed earlier for extracting the diseased spot from the leaf is discussed here. This paper also explains the performance comparison of different existing color based feature extractions.

     

     

  • References

    1. [1] V. P. Gladis Pushpa Rathi, Dr. S. Palani, “A Novel Approach for Feature Extraction and Selection on MRI Images for Brain Tumor Classificationâ€. Journal of Computer Science and Information Technology, 2012, DOI: 10.5121/csit/2012.2224, PP: 225-234.

      [2] Mahdi M.Ali, Ahmed Al-Ani, Derek Eamus and Daniel K. Y. Tan, “A New Image Processing Based Technique to Determine Chlorophyll in Plantsâ€. American-Eurasian J.Agric. & Environ. Sci, 12(10): 2012, ISSN: 1818-6769, PP: 1323-1328, DOI: 10.5829/idosi.aejaes.2012.10.1917.

      [3] Mohamad Faizal Ab Jabal, Suhardi Hamid, Salehuddin Shuib and Illiasaak Ahmad, “Leaf Features Extraction and Recognition Approaches to Classify Plantâ€. Journal of Computer Science 9(10): 2013, ISSN: 1549-3636, PP: 1295-1304, DOI: 10.3844/jcssp.2013.1295.1304.

      [4] Dong Ping Tian, “A Review on Image Feature Extraction and Representation Techniquesâ€. International Journal of Multimedia and Ubiquitous Engineering, Vol.8, No.4, July 2013, PP: 385-396.

      [5] Nitin Jain and Dr.S.S.Salankar, “Color & Texture Feature Extraction for Content Based Image Retrievalâ€. IOSR Journal of Electrical and Electronics Engineering, e-ISSN: 2278-1676, p-ISSN: 2320-3331, PP: 53-58, 2014.

      [6] Ekta Rewar, Saroj Kumar Lenka, “Comparative Analysis of Skin Color Based Models for Face Detectionâ€. Signal & Image Processing An International Journal (SIPIJ) Vol. 4, No.2, April 2013, DOI: 10.5121/sipij.2013.4206, PP: 69-75.

      [7] E.Prathibha, Dr.A.Manjunath, R.Likitha, “RGB to YCbCr Color Conversion using VHDL approachâ€. IJERD, ISSN: 2278-067X, Vol 1, and Issue 3 (June 2012), PP: 15-22.

      [8] Amanpreet Kaur, B.V.Kranthi, “Comparison between YCbCr Color Space and CIELab Color Space for Skin Color Segmentationâ€. International Journal of Applied Information Systems (IJAIS) – ISSN: 2249-0868, Vol. 3, No.4, July 2012, PP: 30-33.

      [9] Gnanatheja Rakesh V, T Sreenivasulu Reddy, “YCoCg color Image Edge Detectionâ€. International Journal of Engineering Research and Applications, Vol.2, Issue 2, Mar-Apr 2012, ISSN: 2248-9622, PP: 152-156.

      [10] Wirat Rattanpitak and Somkait Udomhunsakul, “Comparative Efficiency of Color Models for Multi-focus Color Image Fusionâ€. Proceedings of the International MultiConference of Engineers and Computer Scientists 2010 Vol.2, IMECS 2010, March 17-19, ISSN: 2078-0958.

      [11] S.Chitra, G.Balakrishnan, “Comparative Study for Two Color Spaces HSCbCr and YCbCr in Skin Color Detectionâ€. Applied Mathematical Sciences, Vol.6, 2012, No.85, PP: 4229-4238.

      [12] G.Garcia-Mateos, J.L.Hernandez-Hernandez, D.Escarabajal-Henarejos, S.Jaen-Terrones, J.K.Molina-Martinez, “Study and comparison of color models for automatic image analysis in irrigation management applicationsâ€. Journal of Agricultural Water Management, Elsevier, Sciencedirect, 2014, http://dx.doi.org/10.1016/j.agwat.2014.08.010.

      [13] Noor A.Ibraheem, Mokhtar M.Hasan, Rafiqul Z.Khan, Pramod K.Mishra, “Understanding Color Models: A Reviewâ€. ARPN Journal of Science and Technology, Vol.2, No.3, April 2012, ISSN: 2225-7217, PP: 265-275.

      [14] Juan Ignacio Arribas, Gonzalo V.Sanchez-Ferrero, Gonzalo Ruiz-Ruiz, Jaime Gomez-Gil, “Leaf Classification in Sunflower Crops by Computer Vision and Neural Networksâ€. Computers and Electronics in Agriculture 78 (2011) PP: 9-18, doi:10.1016/j.compag.2011.05.007, ScienceDirect.

      [15] Nurul Hidayah Tuhid, Noor Ezan Abdullah, N.M Khairi, M.F.Saaid, Shahrizam M.S.B, Hadzli Hashim, “A Statistical Approach for Orchid Disease Identification using RGB Colorâ€. 2012 IEEE Control and System Graduate Research Colloquium (IGSGRC 2012), PP: 382-385.

      [16] Prof.Sanjay B.Dhaygude, Nitin P.Kumbhar, “Agricultural Plant Leaf Disease Detection Using Image Processingâ€. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol.2, Issue 1, January 2013, PP: 599-602.

      [17] Mr.Sachin B.Jagtap, Mr.Shailesh M.Hambarde, “Agriculture Plant Leaf Disease Detection and Diagnosis Using Image Processing Based on Morphological Feature Extractionâ€, IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) Vol.4, Issue 5, Ver.I (Sept-Oct 2014), PP:24-30, e-ISSN: 2319-4200, p-ISSN No: 2319-4197.

      [18] Basavaraj S.Anami, Suvarna S.Nandyal, A.Govindan,â€A Combined Color, Texture and Edge Features Based Approach for Identification and Classification of Indian Medicinal Plantsâ€, International Journal of Computer Applications (IJCA), Vol.6, No.12, Sept 2010, ISSN: 0975-8887, PP: 45-51.

      [19] Guangwen Zhang, Lei Yang, Fan Zhang, “An Integrated Color and Texture Feature Extraction Algorithmâ€, second International Conference on Computer Science and Network Technology, 2012, 978-1-4673-2964-4/12, PP: 733-737.

      [20] Miroslav Benco, Robert Hudec, Patrik Kamencay, Martina Zachariasova, Slavomir Matuska, “An Advanced Approach to Extraction of Color Texture Features Based on GLCMâ€, International Journal of Advanced Robotic Systems, May 2014, DOI: 10.5772/58692, PP: 1-8.

      [21] M.Sheerin Banu, Krishnan Nallaperumal, “Analysis of Color Feature Extraction Techniques for Pathology Image Retrieval Systemâ€, 978-1-4244-5967-4/10, 2010, IEEE.

      [22] Nitin P.Kumbhar, Prof.Sanjay B.Dhaygude, “Crop Disease Detection Using CBIRâ€, International Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS), ISSN (Print) : 2279-0047, ISSN (Online) : 2279-0055, PP: 113-118.

      [23] Ajit Danti, Manohar Madgi, Basavaraj S. Anami, “Mean and Range Color Features Based Identification of Common Indian Leafy Vegetablesâ€, International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol.5, No.3, September 2012, PP: 151-160.

      [24] Hrishikesh P.Kanjalkar, S.S.Lokhande, “Feature Extraction of Leaf Diseasesâ€, International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), Vol.3, Issue 1, January 2014, ISSN: 2278-1323, PP: 153-155.

      [25] Sridhar, Gowri, “Color and Texture Based Image Retrievalâ€, ARPN Journal of Systems and Software, Vol.2, No.1, January 2012, ISSN: 2222-9833, PP: 1-6.

      [26] Fatemeh Alamdar, MohammadReza Keyvanpour, “A New Color Feature Extraction Method Based on Dynamic Color Distribution Entropy of Neighborhoodsâ€, International Journal of Computer Science, Vol.8, Issue 5, No.1, September 2011, ISSN (Online): 1694-0814, PP: 42-48.

      [27] A.M.Aibinu, A.A.Shafie, M.J.E.Salami, “Performance Analysis of ANN based YCbCr Skin Detection Algorithmâ€, International Symposium on Robotics and Intelligent Sensors 2012, Procedia Engineering 41(2012), Elsevier, and PP: 1183-1189.

      [28] Sonal P.Patil, Rupali S.Zambre, “Classification of Cotton Leaf Spot Disease Using Support Vector Machineâ€, International Journal of Engineering Research and Applications, Vol.4, Issue 5 (Version 1), May 2014, ISSN: 2248-9622, PP: 92-97.

      [29] Pramod S.Landge, Sushil A.Patil, Dhanashree S.Khot, Omkar D.Otari, Utkarsha G.Malavkar, “Automatic Detection and Classification of Plant Disease through Image Processingâ€, International Journal of Advanced Research in Computer Science and Software Engineering, Vol.3, Issue 7, July 2013, ISSN: 2277-128X, PP: 798-801.

      [30] Sanjay Kr.Singh, D.S.Chauhan, Mayank Vatsa, Richa Singh, “A Robust Skin Color Based Face Detection Algorithmâ€, Tamkang Journal of Science and Engineering, Vol.6, No.4, PP: 227-234 (2003).

      [31] Pradnya Ravindra Narvekar, Mahesh Manik Kumbhar, S.N.Patil, “Grape Leaf Diseases Detection & Analysis using SGDM Matrix Methodâ€, International Journal of Innovative Research in Computer and Communication Engineering, Vol.2, Issue 3, March 2014, ISSN (Online) : 2320-9801, ISSN (Print): 2320-9798, PP: 3365-3372.

      [32] Guili Xu, Fengling Zhang, Syed Ghafoor Shah, Yongqiang Ye, Hanping Mao, “Use of Leaf Color Images to Identify Nitrogen and Potassium Deficient Tomatoesâ€, Pattern Recognition Letters 32(2011), Elsevier, 1584-1590.

      [33] Madhura C, Dheeraj D, “Feature Extraction for Image Retrieval Using Color Spaces and GLCMâ€, International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN: 2278-3075, Vol.3, Issue-2, July 2013, PP: 159-162.

      [34] Michele Saad, “Low-Level Color and Texture Feature Extraction for Content-Based Image Retrievalâ€, Final Project Report, May 2008.

      [35] Miroslav Benco, Robert Hudec, “Novel Method for Color Textures Features Extraction Based on GLCMâ€, Radio Engineering, Vol.16, No.4, December 2007, PP: 64-67.

      [36] Thakurdesai PA, Kole PL & Pareek RP (2004), Evaluation of the quality and contents of diabetes mellitus patient education on Internet. Patient Education and Counseling 53, 309–313.

  • Downloads

  • How to Cite

    Eaganathan, U., S. Prasanna, D., & Sripriya, D. (2018). Various approaches of color feature extraction in leaf diseases under image processing: a survey. International Journal of Engineering & Technology, 7(2.33), 712-717. https://doi.org/10.14419/ijet.v7i2.33.15481