Preprocessing Approach Using BADF Filter in MRI Images for Brain Tumor Detection

Aswathy S. U., Abraham A.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Turkey, 19 - 21 July 2022, vol.505, pp.558-567 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 505
  • Doi Number: 10.1007/978-3-031-09176-6_64
  • City: Bornova
  • Country: Turkey
  • Page Numbers: pp.558-567
  • Keywords: Preprocessing, Adaptive histogram equalization, BADF, Bilateral filtering, ADAPTIVE HISTOGRAM EQUALIZATION, ENHANCEMENT, SVM
  • Istanbul University Affiliated: No


The pre-processing approach is the first stage in the diagnostic procedure. This is particularly significant in noisy and fuzzy photos. It is one of the prerequisite procedures for achieving great efficiency in subsequent image processing steps. The initial step toward an automated CAD (Computer Aided Detection) system for a range of medical applications is image pre-processing. This phase in the medical profession is critical in generating promising outcomes that aid doctors in lowering death rates. There are a variety of methods for increasing brain MRI that are both accurate and automated. A basic technique for automated pre-processing is provided in this work. When compared to other filters, this approach employs an Adaptive Diffusion Filter in conjunction with a Boosted Anisotropic Diffusion Filter, which outperforms the current anisotropic diffusion filter. For a total of 20 photos, the necessary labor is put to the test. According to the author, BADF assists the radiologist in doing precise brain examinations, hence minimizing risk factors.