Biomedical Image Processing Lab

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EXPERIMENT NO: 9

TITLE: INTRODUCTION TO BIOMEDICAL IMAGE PROCESSINGFUNCTIONS IN MATLAB

DEGREE: M.TECH 2013-14 (2 nd Semester)

SUBMITTED BY

GROUP- 2

SI NO. NAME REGISTRATION NO. SIGNATURE

1 Gaurav Kulkarni 213BM1006

2Prashant Kumar 213BM1008

3 Amit Kumar Singh 213BM1017

DATE OF EXPERIMENT DATE OF SUBMISSION20-03-2014 27-03-2014

DEPARTMENT OF BIOTECHNOLOGY AND MEDICAL ENGINEERING

NATIONAL INSTITUTE OF TECHNOLOGYROURKELA-769008

ODISHA

MARKSAWARDED

SIGNATURE REMARK


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BIOMEDICAL IMAGE PROCESSING LAB

(BM678)

EXPERIMENT NO: 9

TITLE: INTRODUCTION TO BIOMEDICAL IMAGE PROCESSINGFUNCTIONS IN MATLAB

DEGREE: M.TECH 2013-14 (2 nd Semester)

SUBMITTED BY

GROUP- 2

SI NO. NAME REGISTRATION NO.1 Gaurav Kulkarni 213BM10062 Prashant Kumar 213BM10083 Amit Kumar Singh 213BM1017

DATE OF EXPERIMENT DATE OF SUBMISSION20-03-2014 27-03-2014

DEPARTMENT OF BIOTECHNOLOGY AND MEDICAL ENGINEERING

NATIONAL INSTITUTE OF TECHNOLOGYROURKELA-769008

ODISHA


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AIM:

To study bio-medical image processing functions in MATLAB.

COMPONENTS REQUIRED

1) MATLAB 2010

2) Computer

PROGRAM NO. 1 .1

To obtain Radon Transform of Straight line.

Functions used radon

Matlab code


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Observations

1. Radon Transform is nothing but Sinogram of an image.2. It forms the basis of image reconstruction in CT and other CT related (PET, SPECT)

modalities.3. Straight line Radon transform is single dot.

PROGRAM NO. 1 .2

To obtain Radon Transform of series of Straight lines.


Matlab code


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Observations

The dots corresponds to position of different lines in space domain.

PROGRAM NO. 1.3

To obtain Radon Transform of series of Point images.


Matlab code

Observations

As points are having co-ordinates which are multiples of each other, the sinogram passesthrough single point with different curves.


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PROGRAM NO. 2

To study the effect of gamma value by implementing Power LawTransformations.

Matlab code

Observations

1. Power law transformation is spatial domain operation & enhances or reduces contrastdepending upon the value of gamma.

2. If gamma = 1, image remains same. If it is less than unity, contrast reduces. If it isgreater than 1, contrast increases by very large amount.


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PROGRAM NO. 3.1

To study image subtraction using HPF with different kernel sizes.

Matlab code

Observations

1. High Pass Filter enhances the edges present in an image.2. As mask size increases, edges becomes more enhanced.


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PROGRAM NO. 4

To implement Unsharp filtering on biomedical image.

Matlab code

Observations

Unsharp masking uses following steps-

Blur original image. Subtract blurred image from original image. Add the mask to original image.


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PROGRAM NO. 6

To extract different Bit-Planes of biomedical image.

Functions used - bitand

Matlab code -


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Observations

1. Till 4 th bit-plane, image contains very fewer information.2. Bit-planes 5 th, 6 th & 7 th contains maximum image information.

3. bitand function is used to convert image pixel into binary and then separates it intodifferent bit-planes.

PROGRAM NO. 7

To study Bit-Plane suppression operation on Biomedical Image.

Matlab code


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Observations

1. Suppressed image till 4 th bit-plane is almost equal to original image i.e. till bit-plane4, image contains fewer information.

2. After supressed bit-plane 5 th image, the contrast of image is drastically reduced due tovery high information content in higher bits.

Conclusion: Thus we have learned about Biomedical Image Processing and basic image processing tools of MATLAB.

Documents

Biomedical Image Processing Lab