2. Introduction
Related work
Proposed solution
Conclusion
2References at the end are listed.
3. • the image data generation in medical is more
and more in day to day activities like CT,X-ray
and MRI etc
• The scalability has increased therefore needs of
image retrieval system is essential one.
• CBMIR is an emerging technique play a pivot
role in this domain
• Shape texture and intensity contents were used
to implement the system.
3References at the end are listed.
4. A digital image is a numeric representation
of a two dimensional image.
Depending on whether the image
resolution is fixed, it may be of vector
or raster type. By itself, the term "digital
image" usually refers to raster images
or bitmapped images..
4References at the end are listed.
6. Shape based image retrieval using
o Canny edge detection method
o K-means clustering
• In this image segmentation, features extraction
and classification steps were used.
6References at the end are listed.
9. Model of a segmented human left femur(seen
from front). It shows the outer surface (red), the
surface between compact bone and spongy
bone(green) and the surface of the bone
marrow (blue).
9
References at the end are listed.
10. Done on the behalf of
• Gray level co-occurrence matrix
10References at the end are listed.
11. Diagnostic and screening tool of chest
Dominant imaging modality for early detection
of chest cancer chest cancer appears as a mass
and/or micro calcifications
The diagnosis is difficult that leads to
unnecessary biopsies
11References at the end are listed.
12. Circumscribed
12References at the end are listed.
•Smooth and highly convex
boundary
•Well-defined margin
•Low probability of
malignancy
13. 13References at the end are listed.
• Rough and bumpy boundary
• The overall shape is retained
• Medium to high probability of
malignancy
14. 14References at the end are listed.
•Margin with large protrusions
and not clearly defined
•The overall shape becomes
irregular
•Highly suggestive of malignancy
27. flexibility for content based medical image retrieval
system
In each level, the retrieval performance of the
system also significantly improved.
the medical images have been
retrieved in an efficient manner using multilevel
hybrid approach method
27References at the end are listed.
