The Srgb Color Space Based Density Analysis for Brain Tumor Segmentation

Authors

  • Gangadharappa S Associate Professor, Dept.of CS&E, Bapuji Institute of Engineering and Technology, Davanagere, Karnataka, India. Author
  • Santosh K C Associate Professor, Dept.of CS&E, Bapuji Institute of Engineering and Technology, Davanagere, Karnataka, India. Author
  • Shankar Sarji P Assistant Professor, Dept.of CS&E, Bapuji Institute of Engineering and Technology, Davanagere, Karnataka, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2024.0350

Keywords:

Morphological functions, Gaussian Filter, Srgb color space

Abstract

One of the important areas of study in medical image processing is early disease detection and diagnosis. A subfield of medical image processing includes the brain tumour segmentation procedure. Medical professionals have an efficient means of diagnosing illnesses because to computer vision and machine learning technology. The Srgb based density analysis is used in this study to isolate the area of brain tumours in MRI images. To differentiate the tumour area from the surrounding area, the intensity values of the input are normalised using the Gaussian filter and the Srgb colour space. In brain MRI samples, the adaptive threshold approach aids in locating potential tumour space. By calculating region parameters like area and density function, the actual space occupied by brain tumours is recovered. Ultimately, by applying morphological functions and removing potential false positives, the accurate tumour space is identified. Recall, accuracy, and F-measure are a few of the performance indicators that are used to evaluate how effective the suggested strategy.

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Published

2024-10-23

How to Cite

The Srgb Color Space Based Density Analysis for Brain Tumor Segmentation. (2024). International Research Journal on Advanced Engineering Hub (IRJAEH), 2(10), 2552-2557. https://doi.org/10.47392/IRJAEH.2024.0350

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