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image processing projects

A note on programming:  The principal objectives of the following projects are (1) to teach the student how to manipulate images, and (2) to help in developing a sense of how image processing solutions are prototyped in software.  To this end, the programming environment needed to implement these projects can consist of a truly general-purpose environment (e.g., a C++ approach) to an environment in which the projects can be implemented as a combination of existing functions with the capability to write code that can expand the capabilities of those functions.  Perhaps the best exponent of that approach is MATLAB's Image Processing Toolbox (IPT).  We prefer an approach that uses such a combination of capabilities because it is more representative of what the student is likely to find in practice after graduation.  The Software section of this web site contains resources and links to resources that can be helpful in developing a programming environment for the projects.

Download the projects as a PDF file.


Click on below links to download



Project No.
Title
Comments
Suggested format for submitting project reports.




Image Printing Program Based on Halftoning.



Zooming and Shrinking Images by Bilinear Interpolation.
Multiple uses.



Image Enhancement Using Intensity Transformations.

Histogram Equalization.
Multiple uses.
Arithmetic Operations.
Multiple uses.
Spatial Filtering.
Multiple uses.
Enhancement Using the Laplacian.

Unsharp Masking.




Two-Dimensional Fast Fourier Transform.
Multiple uses.
Fourier Spectrum and Average Value.

Lowpass Filtering.






Multiple uses.













Multiple uses.
Multiple uses.





Multiple uses.






Morphological and Other Set Operations.
Multiple uses.
Boundary Extraction.
Multiple uses.
Connected Components.
Multiple uses.




Edge Detection Combined with Smoothing and Thresholding.

Global Thresholding.
Multiple uses.
Optimum Thresholding.

Region Growing.




Skeletons.

Fourier Descriptors.
Multiple uses.
Texture.

Principal Components.




Generating Pattern Classes.
Multiple uses.
Minimum Distance Classifier.

Bayes Classifier.

Perceptron Classifier.





Note: Source of these projects  http://www.imageprocessingplace.com/DIP-2E/dip2e_student_projects.htm

1 comments:

mmfauzan said...

i am doing a project on newly implemented idea for image compression using hybrid wavelet transform, how we can apply using discrete walsh transform and DCT hybrid

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