1. steps in image processing

1. steps in image processing

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  Steps in imageprocessing By Md. Fazle Rabbi 16CSE057
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  4.2 What is Image? • An image is a spatial representation of a two dimensional or three dimensional scene. • An image is an array, or a matrix pixels (picture elements) arranged in columns and rows.
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  4.3 WHAT IS DIGITALIMAGE PROCESSING? DIP Definition: A Discipline in Which Both the Input and Output of a Process are Images. Process Image Image
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  4.4 What Is DigitalImage ? An image may be defined as a two-dimensional function, f(x, y), where x and y are spatial (plane) coordinates, and the amplitude of f at any pair of coordinates (x,y) is called the intensity or gray level of the image at that point.  Digital Image: When x, y and the intensity values of f are all finite, discrete quantities, we call the image a digital image. The field of digital image processing refers to processing digital images by means of a digital computer
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  4.5 What Is DigitalImage ?
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  4.6 What Is DigitalImage ?
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  4.7 Fundamental Steps inDigital Image Processing
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  4.8 Fundamental Steps inDigital Image Processing
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  4.9 Fundamental Steps inDigital Image Processing
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  4.10 Image Acquisition
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  4.11 Image Enhancement Image enhancementis the process of manipulating an image so that the result is more suitable than the original for a specific application. There is no general “theory” of image enhancement. When an image is processed for visual interpretation, the viewer is the ultimate judge of how well a particular method works.
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  4.12 What is ImageRestoration? Image restoration attempts to restore images that have been degraded  Identify the degradation process and attempt to reverse it.  Almost Similar to image enhancement, but more objective.
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  4.13 Color Issue ofan Image Color Image Processing is an area that has been gaining in importance because of the significant increase in the use of digital images over the Internet. • Red, Green and Blue Color cube • Consider Each element=8 bit • R,G,B ~0 to 255 • Grey scale f(x , y , L) • 256 Grey shades • Color Scale f(x , y, r , g , b)-24 bit 255x255x255=16777216 colors
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  4.14 Image Compression? • Howwe stored the image: Reduce the size for storage . • Compression-Remove redundancies. • Transmission with minimum bandwidth. • Lossy Compression=redundancy +some information, but still acceptable
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  4.15 Morphological Image Processing Extractimage components that are useful in the representation and description of region shape, such as- •Boundaries extraction •Skeletons •Convex hull •Morphological filtering •Thinning •Pruning…many More
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  4.16 Image Segmentation Image Segmentationis the process of partitioning a digital image into multiple segments. The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze
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  4.17 Image Representation &Description • Image representation & description: After an image is segmented into regions; the resulting aggregate of segmented pixels is represented & described for further computer processing. • Representation and Description – Representing regions in 2 ways: • Based on their external characteristics (its boundary): – Shape characteristics • Based on their internal characteristics (its region): – Regional properties: color, texture, and … • Both
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  4.18 Image Representation &Description
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  4.19 Thank You