Comparison of various filters for noise removal in paddy leaf images

  • Authors

    • K S. Archana
    • Arun Sahayadhas
    2018-04-20
    https://doi.org/10.14419/ijet.v7i2.21.12444
  • Rice plant, plant pathogen, brown Spot, image processing, preprocessing techniques.

  • Automatic detection of plant diseases is one the important challenging problems in agriculture field. So the basic analyzing method for automatic identification is filtering technique of preprocessing method. Hence, this Image filtering plays a important role to remove noise from image. Consequently this preprocessing method is the initial stage to make better image quality. The purpose of this paper is comparing four types of filtering techniques to differentiate the image quality in Gaussian filter, median filter, mean filter and weiner respectively filter using common data set. The image quality of overall results shows that the comparison of various filtering technique performed to enhancement quality using hybrid technique. So this paper gives best starting for researchers to automatic detection of rice plant disease detection.

     

     

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  • How to Cite

    S. Archana, K., & Sahayadhas, A. (2018). Comparison of various filters for noise removal in paddy leaf images. International Journal of Engineering & Technology, 7(2.21), 372-374. https://doi.org/10.14419/ijet.v7i2.21.12444