Image processing- an introduction

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One picture is more than ten thousand words Image Processing By Aarohi Gupta

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This is just a small introduction to image processing...

Transcript of Image processing- an introduction

Page 1: Image processing- an introduction

One picture is more than ten thousand words

Image Processing

ByAarohi Gupta

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Image processing involves processing or altering an existing image in a desired manner.

The next step is obtaining an image in a readable format.

The Internet and other sources provide countless images in standard formats.

What is it?

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Since the digital image is “invisible” it must be prepared for viewing on one or more output device (laser printer,monitor,etc)

The digital image can be optimized for the application by enhancing or altering the appearance of structures within it (based on: body part, diagnostic task, viewing preferences,etc)

It might be possible to analyze the image in the computer and provide cues to the radiologists to help detect important/suspicious structures (e.g.: Computed Aided Diagnosis, CAD)

WHY DO WE NEED IMAGE PROCESSING?…

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ACQUIRING IMAGE…

Scientific instruments commonly produce images to communicate results to the operator, rather than generating an audible tone or emitting a smell.

Space missions to other planets and Comet Halley always include cameras as major components, and we judge the success of those missions by the quality of the images returned.

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TYPES OF IMAGE PROCESSING

Image-to-information transformations

Image-to-image transformations

Information-to-image transformations

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Enhancement (make image more useful, pleasing)

Restoration Egg. deblurring ,grid line removal

Geometry (scaling, Zooming, Morphing one object to another).

IMAGE-TO-IMAGE TRANSFORMATIONS

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Decompression of compressed image data.

Reconstruction of image slices from CT or MRI raw data.

Computer graphics, animations and virtual reality (synthetic objects).

INFORMATION-TO-IMAGE TRANSFORMATIONS

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HIGH RESOLUTION IMAGING

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Clustering….

Similar data points grouped together into clusters.

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Segmented with 4 clusters

Original Image

Segmented with 6 clusters

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Original Image 2 clusters

4 Clusters 6 Clusters

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Some Applications

Of Image

Processing…

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Document Imaging

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Signature Verification

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Biometrics

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Interpretation of Aerial Photography

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Fingerprint Identification Research at UNR Minutiae Matching

Delaunay Triangulation

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Face Detection

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Face Recognition

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Astronomy Applications Research at UNR

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In electrical engineering and computer science, image processing is any form of signal processing for which the input is an image, such as photographs or frames of video; the output of image processing can be either an image or a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it.

CONCLUSION

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