BY K.R CAHANDRAN,INDIA
Presentation By :-
Naza Hameed Jan
Content based image retrieval using multilevel
hybrid approach
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• 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.
Introduction
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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..
Digital Image
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Shape based image retrieval usingo Canny edge detection method o K-means clustering• In this image segmentation, features
extraction and classification steps were used.
Related Work
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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).
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Image segmentation
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Done on the behalf of • Gray level co-occurrence matrix
Related work done on the bases of texture based
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Diagnostic and screening tool of chestDominant 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
Computer aided diagnostic of screening mammography
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Circumscribed
Cont….
•Smooth and highly convex boundary•Well-defined margin•Low probability of malignancy
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Microlobulated
• Rough and bumpy boundary• The overall shape is retained• Medium to high probability of
malignancy
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Spiculated
•Margin with large protrusions and not clearly defined•The overall shape becomes irregular•Highly suggestive of malignancy
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