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BY K.R CAHANDRAN,INDIA Presentation By :- Naza Hameed Jan Content based image retrieval using multilevel hybrid approach

Cbmir

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BY K.R CAHANDRAN,INDIA

Presentation By :-

Naza Hameed Jan

Content based image retrieval using multilevel

hybrid approach

2References at the end are listed.

IntroductionRelated workProposed solutionConclusion

Contents

3References at the end are listed.

• 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

4References at the end are listed.

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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Pixel

Fig:- Digital Image from Google Images

6References at the end are listed.

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

7References at the end are listed.

\

Prominanting the edges

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\

Prominanting the edges

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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).

References at the end are listed.

Image segmentation

10References at the end are listed.

Done on the behalf of • Gray level co-occurrence matrix

Related work done on the bases of texture based

11References at the end are listed.

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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Circumscribed Microlobulated Speculated

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X-ray of Chest

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MRI images of a human knee and spine

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Proposed sollution

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Literal view of backbone

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Anterio leteral view

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Survical

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flexibility for content based medical image retrieval system

In each level, the retrieval performance of the system also significantly improved.

the medical images have beenretrieved in an efficient manner using multilevel

hybrid approach method

Conclusion