30, October 2025

Image Fusion Using DWT for Bone Tumor Detection

VOLUME-9; ISSUE-10; OCT-2025

Author(s): 1. Sonali B. Anantkar, 2. S. R. Khot

Authors Affiliations:

  1. PG Scholar, E&Tc Department, DYPCOE, Shivaji University, Kolhapur, India

2. Assistant Professor, E&Tc Department, DYPCOE, Shivaji University, Kolhapur, India

 

DOIs:10.2017/IJRCS/202510009     |     Paper ID: IJRCS202510009


Abstract
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Bone tumors are complex conditions that require precise and reliable detection methods to improve diagnostic outcomes. This study presents an approach to bone tumor stage detection by integrating CT and MRI images using the Discrete Wavelet Transform (DWT) technique for image fusion. Despite attempts at automatic segmentation, manual segmentation was employed to accurately extract the tumor Region of Interest (ROI). Key features including standard deviation, variance, contrast, mean, homogeneity, entropy, energy, and radius correlation were computed from the segmented ROI. These features were classified using a Support Vector Machine (SVM) and compared against a pre-established database to determine the tumor stage. The methodology is implemented using MATLAB, demonstrating the potential for improved classification accuracy and laying the groundwork for advanced diagnostic tools in oncology.

Bone Tumor Detection, Image Fusion, Discrete Wavelet Transform (DWT), Support Vector Machine (SVM), Feature Extraction

Sonali B. Anantkar, S. R. Khot (2025); Image Fusion Using DWT for Bone Tumor Detection, International Journal of Research Culture Society,    ISSN(O): 2456-6683,  Volume – 9,   Issue –  10,  Pp. 62-68.        Available on – https://ijrcs.org/

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