BONE EXTRACTION IN X-RAY IMAGES BY ANALYSIS OF LINE FLUCTUATIONS
Objective
A new bone segmentation method uses noise reduction and edge detection, analysing intensity fluctuations for more accurate results. It outperforms existing techniques, benefiting medical imaging.
Abstract
Segmentation of X-ray bone images is vital in medical contexts like osteoporosis and fracture detection, yet remains challenging due to image brightness variations, hindering bone, soft tissue, and background differentiation. Traditional segmentation methods like active contour and region growing offer solutions, but their effectiveness varies due to diverse bone structures and lighting conditions. This paper introduces a novel bone segmentation approach involving preprocessing steps like noise cancellation and edge detection. By analysing intensity fluctuations across all image rows, this method achieves more precise bone region segmentation. Visual assessments demonstrate superior performance compared to conventional and recent segmentation methods. This technique offers a promising avenue for improved accuracy in medical image analysis, potentially enhancing diagnostic processes for conditions like osteoporosis and fractures.
Keywords: X-ray, bone segmentation, noise cancellation, edge detection.
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Block Diagram
Specifications
Software: Matlab 2020a or above
Hardware:
Operating Systems:
- Windows 10
- Windows 7 Service Pack 1
- Windows Server 2019
- Windows Server 2016
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space
RAM:
Minimum: 4 GB
Recommended: 8 GB
Learning Outcomes
· Introduction to Matlab
· What is EISPACK & LINPACK
· How to start with MATLAB
· About Matlab language
· Matlab coding skills
· About tools & libraries
· Application Program Interface in Matlab
· About Matlab desktop
· How to use Matlab editor to create M-Files
· Features of Matlab
· Basics on Matlab
· What is an Image/pixel?
· About image formats
· Introduction to Image Processing
· How digital image is formed
· Importing the image via image acquisition tools
· Analyzing and manipulation of image.
· Phases of image processing:
o Acquisition
o Image enhancement
o Image restoration
o Color image processing
o Image compression
o Morphological processing
o Segmentation etc.,
· How to extend our work to another real time applications
· Project development Skills
o Problem analyzing skills
o Problem solving skills
o Creativity and imaginary skills
o Programming skills
o Deployment
o Testing skills
o Debugging skills
o Project presentation skills
o Thesis writing skills
Paper Publishing
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