Ceng466 Fundamentals of Image Processing

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Presentation transcript:

Ceng466 Fundamentals of Image Processing Manipulation of Images by Computer

What is Image?

Image: Visual Information 2-d: binary, gray level, color (pictures, photos, etc) 3-d: debth info (drawings, holograms etc.) Multispectral: (sattellites images) Ultrasound (medical images) Mr (meterials, medical) Thermal (security cameras) IR ( defence) X-ray (medical)

Image Processing Image: Visual Information Processing: Series of actions or operations leading to a desired result Algorithms

Computer imaging Image processing: Computer vision Computer graphics output image for human consumption Computer vision output image for use of computer Computer graphics Computer generates image

Computer Imaging Linear Algebra Probability Algorithms Discrete geometry Color science Data structure IP CV CG

Image Processing Steps Pre processing:Sampling and quantization, Enhancement Improve and accentuate some properties according to HVS Detect the edges, Sharpen the edges, adjust contrast, improve brightness, smooth the noise Etc Compression:Reduce the amount of data with max info Restoration

Image Processing Steps Feature extraction: Higher level of info Segmentation: Partition the homogeneous regions Pattern recognition: Classify and label the objects

Sampling:Digitize Image in space

Sampling

Quantization: Digitize Brihtness values

Enhencement: Zooming Interpolation

Enhancement: Smoothing

Enhancement: Edge Detection

Image Enhancement in the Frequency Domain

3. Compression: Reducing the amount of data with maximum info

3. Compression: Reducing the amount of data with maximum info

Reducing the amount of data with maximum info 3. Compression: Reducing the amount of data with maximum info

Compression depends on the Image content

Recover the original image by removing the noise 4. Restoration: Recover the original image by removing the noise

5. Image Segmentation

6. Object Recognition

6. Object Recognition

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