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The precise segmentation and detection of brain tumors play a vital role in timely diagnosis and planning of treatment for neurological disorders. This paper presents an advanced methodology for brain tumor analysis, integrating enhancement thresholding, morphological operations and comprehensive area-perimeter analysis. The proposed approach begins with the enhancement of brain tumor regions through thresholding techniques, which optimally highlight tumor boundaries while minimizing background noise. The subsequent application of morphological operations refines the segmentation by addressing irregularities and fine-tuning the tumor contours. This dual-step process ensures a robust and precise delineation of tumor regions, enhancing the overall accuracy of detection. The calculation of tumor perimeter offers additional information on the shape and boundary irregularities, contributing to a more comprehensive understanding of the tumor’s structural characteristics. A subset of images has been randomly chosen from the Brain Tumor Image Dataset, which includes the Cheng Dataset and SARTAJ dataset Br35H for our investigation.

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Improving Brain Tumor Segmentation from MR Images Through Integration of Preprocessing Techniques

  • 会议论文

  • 发表日期：

    2025年

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  • M. Ravikumar,
  • K. Indrakumar

摘要

The precise segmentation and detection of brain tumors play a vital role in timely diagnosis and planning of treatment for neurological disorders. This paper presents an advanced methodology for brain tumor analysis, integrating enhancement thresholding, morphological operations and comprehensive area-perimeter analysis. The proposed approach begins with the enhancement of brain tumor regions through thresholding techniques, which optimally highlight tumor boundaries while minimizing background noise. The subsequent application of morphological operations refines the segmentation by addressing irregularities and fine-tuning the tumor contours. This dual-step process ensures a robust and precise delineation of tumor regions, enhancing the overall accuracy of detection. The calculation of tumor perimeter offers additional information on the shape and boundary irregularities, contributing to a more comprehensive understanding of the tumor’s structural characteristics. A subset of images has been randomly chosen from the Brain Tumor Image Dataset, which includes the Cheng Dataset and SARTAJ dataset Br35H for our investigation.