Skin Diseases Detection Models using Image Processing: A Survey

  title={Skin Diseases Detection Models using Image Processing: A Survey},
  author={Nisha Yadav and V. K. Narang and Utpal Shrivastava},
  journal={International Journal of Computer Applications},
  • Nisha Yadav, V. K. Narang, Utpal Shrivastava
  • Published 2016
  • Computer Science
  • International Journal of Computer Applications
  • Now a days, skin diseases are mostly found in animals, humans and plants. A skin disease is a particular kind of illness caused by bacteria or an infection. These diseases like alopecia, ringworm, yeast infection, brown spot, allergies, eczema etc. have various dangerous effects on the skin and keep on spreading over time. It becomes important to identify these diseases at their initial stage to control it from spreading. These diseases are identified by using many technologies such as image… CONTINUE READING
    15 Citations
    Detecting Skin Disease by Accurate Skin Segmentation Using Various Color Spaces
    • Megha D. Tijare, Dr. V. T. Gaikwad
    • 2019
    Analysis and Identification of Dermatological Diseases Using Gaussian Mixture Modeling
    • 2
    Detection of Vitiligo Skin Disease using LVQ Neural Network
    • 2
    Dermatological Diseases Classification using Image Processing and Deep Neural Network
    Classification of Human Skin Diseases using Data Mining
    • 1
    • PDF
    Skin Disease Detection using Improved Bag of Features Algorithm


    Applying image processing technique to detect plant diseases
    • 107
    Classification of cotton leaf spot diseases using image processing edge detection techniques
    • P. Revathi, M. Hemalatha
    • Engineering
    • 2012 International Conference on Emerging Trends in Science, Engineering and Technology (INCOSET)
    • 2012
    • 96
    Recent Studies of Image and Soft Computing Techniques for Plant Disease Recognition and Classification
    • 14
    • Highly Influential
    Unhealthy region of citrus leaf detection using image processing techniques
    • 77
    Image processing for smart farming: Detection of disease and fruit grading
    • 155
    Feasibility Study on Plant Chili Disease Detection Using Image Processing Techniques
    • 85