Contents

WHAT IS IMAGE PROCESSING?

WHY DO WE NEED IMAGE PROCESSING?

ACQUIRING IMAGE

TYPES OF IMAGE PROCESSING

SOME APPLICATIONS OF IMAGE PROCESSING

Image processing is any form of signal processing for which the input is an image, such as photograph or video frame, the output of image processing may be either an image or a set of characteristics or parameters related to the image.

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

The digital image can be optimized for theapplication by enhancing or altering theappearance of structures within it (based on:body part)

It might be possible to analyze the image in thecomputer and provide cues to the radiologists tohelp detect important structures (e.g.: ComputedAided Diagnosis, CAD)

Scientific instruments commonlyproduce images to communicate resultsto the operator, rather than generatingan audible tone.

Space missions to other planets alwaysinclude cameras as major components,and we judge the success of thosemissions by the quality of the imagesreturned.

Image-to-image transformations

Image-to-information transformations

Information-to-image transformations

Enhancement (make image more useful)

Restoration

grid line removal

Geometry

(scaling, Zooming etc.).

Decompression of compressed image data.

Reconstruction of image slices from CT or MRI raw data.

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

Signature Verification

Biometrics

Interpretation of Aerial Photography

Fingerprint Identification Research at UNR(University of Nevada, Reno)

Minutiae Matching

Delaunay Triangulation

Face Detection

Face Recognition

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