Applications of AI Image Processing.

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Presentation transcript:

Applications of AI Image Processing

What is an Image? A Two Dimensional Data Structure made up from picture elements (pixels).

Image Processing Operations

1. Image Coding Image coding reduces the storage requirement for an image by removing redundant information Applications of Image Coding Digital Cameras. CDROM MPEG Movies. Video on Demand. Video-phones. Video-conferencing. Hypermedia Documents.

2. Image Enhancement An image may need to be processed so that it may be viewed. Applications of Image Enhancement Medical Imaging. Scientific Visualisation. Publishing. Astronomy. Microscopy. Particle Physics

3. Image Restoration If an image has known faults then these may often be corrected. A blurred image may be 'deblurred' or a noisy image may have noise removed.

4. Image Segmentation Sometimes similar areas in an image must be identified, for example from an aerial photograph the land and the sea may need to be segmented.

5. Feature detection Often, only part of an image is of interest. Feature detection creates an image that contains information about the presence of certain types of features. Edges are common features

Applications of Restoration, Segmentation, Feature Detection. • Remote Sensing. • Medical Imaging. • Character Recognition. • Data Analysis. • Computational Vision. • Feature Location. • Gesture recognition.

Blurring. Gradient Maximum Minimum Median Filter Mode Filter K Nearest Neighbour Convolution Masks