Automatic Detection of Eczema Using Image Processing

  • Sakshi Srivastava
  • Abhilasha Singh
  • Ritu Gupta
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 18)


Eczema is the most common form of skin disease in humans. Skin diseases like eczema, if not detected and controlled early, may lead to severe health and financial consequences for patients. Most of the skin disease is curable at initial stages with the improvement in technology. Also, an early detection of skin disease can prevent the progression of the disease and save the patient’s life. Early measurement of disease harshness, combined with a recommendation for skin protection and use of appropriate medication, can prevent the disease from worsening. At present, diagnosis can be costly and time-consuming. In this paper, a method for early detection of eczema is presented using modern image processing and algorithms. Techniques such as preprocessing, segmentation, feature extraction, filtering, edge detection, etc. are part of image processing and are used to identify the part affected by disease. Simulation suggests that the proposed system can successfully detect the regions affected by eczema. An attempt has been made to detect eczema-affected region with the help of proposed algorithm.


Image processing Morphology Eczema Automatic detection 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Sakshi Srivastava
    • 1
  • Abhilasha Singh
    • 1
  • Ritu Gupta
    • 1
  1. 1.Amity School of Engineering and Technology, Amity UniversityNoidaIndia

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