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A Presentation
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Enhancement of Mammogram Images
DEPARTMENT OF COMPUTER SCIENCE ENGINEERING &INFORMATION
TECHNOLOGY
Submitted to: Submitted by:
Ms Meenakshi Gujral Punit Karnani
Mr. Gaurav Saxena Himanshu Sharma
MAMMOGRAM IMAGES
 For the detection of breast cancer mammofram
images are taken which is the leading cause of
death in women. Radiologist look for certain
features to analyse mammogram but due to its
fuzzy nature , low contrast and low differentiability it
is not possible to analyse and provide diagnosis.
OBJECTIVE OF IMAGE ENHANCEMENT
 The principle objective of Image enhancement is to
process an image so that result is more suitable
than original image for specific application
 This technology aims to gain the advantages of
enhance and sharpening process that aims to
highlight sudden changes in the image intensity.
FEATURES OF IMAGE ENHANCEMENT
 The main feature of mammography is the primary
imaging technique for detection and diagnosis of
breast cancer.
 It highlights the certain characteristics of an image.
AIM OF PROJECT
 Our main main aim of project is to enhance the
mammogram images.
 Proccesing of images to bring out specific feature
from previous image after applying some methods
of given mammogram.
METHODS USED IN PROJECT
 PSNR ratio
 Filteration by various filters like weiner filter, median
filter and linear filter.
 Wavelet transformation
 Mean square error
 Spatial domain method
PSNR RATIO
 PSNR ratio is Peak signal to noise ratio, in our
project it is calculated for comparison of different
filters value.
 The more will be the PSNR , lesser will be noise
and image would be clear and more easier to
visualize.
WAVELET TRANSFORMATION
 In our project wavelet transformation is used to
decomposing the noisy image and reconstructing
the resutling paramters of image after applying
filteration proces.
SPATIAL DOMAIN METHOD
 Contrast and dynamic range modification
 Noise reduction
 Edge Enhancement and detection
MEAN SQURE ERROR
 Usually in many techniques mean square error
calculation is not necessary but in case of
evaluation and comparative purpose, it will be
essential to judge previous and reconstructed
image.
CONCLUSION
 On the basis of PSNR we find out are own
proposed linear filter in which we used various
image proccessing technique like wavelet
transformation.
 We find out the mean square error between original
image and noisy image.
 Reduced noise in original image to get better
quality of image.
THANK YOU!

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Presentation1 major

  • 1. A Presentation on Enhancement of Mammogram Images DEPARTMENT OF COMPUTER SCIENCE ENGINEERING &INFORMATION TECHNOLOGY Submitted to: Submitted by: Ms Meenakshi Gujral Punit Karnani Mr. Gaurav Saxena Himanshu Sharma
  • 2. MAMMOGRAM IMAGES  For the detection of breast cancer mammofram images are taken which is the leading cause of death in women. Radiologist look for certain features to analyse mammogram but due to its fuzzy nature , low contrast and low differentiability it is not possible to analyse and provide diagnosis.
  • 3. OBJECTIVE OF IMAGE ENHANCEMENT  The principle objective of Image enhancement is to process an image so that result is more suitable than original image for specific application  This technology aims to gain the advantages of enhance and sharpening process that aims to highlight sudden changes in the image intensity.
  • 4. FEATURES OF IMAGE ENHANCEMENT  The main feature of mammography is the primary imaging technique for detection and diagnosis of breast cancer.  It highlights the certain characteristics of an image.
  • 5. AIM OF PROJECT  Our main main aim of project is to enhance the mammogram images.  Proccesing of images to bring out specific feature from previous image after applying some methods of given mammogram.
  • 6. METHODS USED IN PROJECT  PSNR ratio  Filteration by various filters like weiner filter, median filter and linear filter.  Wavelet transformation  Mean square error  Spatial domain method
  • 7. PSNR RATIO  PSNR ratio is Peak signal to noise ratio, in our project it is calculated for comparison of different filters value.  The more will be the PSNR , lesser will be noise and image would be clear and more easier to visualize.
  • 8. WAVELET TRANSFORMATION  In our project wavelet transformation is used to decomposing the noisy image and reconstructing the resutling paramters of image after applying filteration proces.
  • 9. SPATIAL DOMAIN METHOD  Contrast and dynamic range modification  Noise reduction  Edge Enhancement and detection
  • 10. MEAN SQURE ERROR  Usually in many techniques mean square error calculation is not necessary but in case of evaluation and comparative purpose, it will be essential to judge previous and reconstructed image.
  • 11. CONCLUSION  On the basis of PSNR we find out are own proposed linear filter in which we used various image proccessing technique like wavelet transformation.  We find out the mean square error between original image and noisy image.  Reduced noise in original image to get better quality of image.