Image Modeling & Segmentation. Aly Farag and Asem Ali. Image Modeling & Segmentation. Introduction Intensity Model. Spatial Interaction Model. Segmentation Framework. Introduction. Introduction. Image. Is a graphic representation of a scene in 2D/3D discrete spaces.
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AlyFaragand Asem Ali
Object / Class
2D video frame of a real 3D scene
Remotely sensed image
What is the information in the image?
And how can it be mathematically modeled?
Image Modeling: is to quantitatively specify visual characteristics of the image in few parameters so as to understand natural constraints and general assumptions about the imaging process
gray level histogram
gray level histogram
gray levels histogram
Human brain uses “contextual information” by assuming that the true color of a pixel depends on the colors at spatially neighboring
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Contextual information: eliminate ambiguities, correct errors, recover messing information
In some cases, image non-homogeneities are outside the domain of uniform spatial interaction
Read the following image segmentation introduction
and answer these questions:
Define the image?
Pixel values can represent different measurements such as brightness, and what?
What is the difference between image classification and image segmentation?
What are the basic techniques for image segmentation?
What are the different types of model-based image segmentation approaches?
Mention the disadvantages of threshold-based image segmentation approach?
Explain the main idea of the region growing-based image segmentation approach?
What are the major classes of the deformable models and their formulations?
Define the image modeling?
What are the different information that we can model in images?