Stages of image processing

1. STAGES OF IMAGE PROCESSING

2. Digital image processing is the use of computer algorithms to perform image processing on digital images .

3. Image Acquisition Image Restoration Morphological Processing Segmentation Representation & Description Image Enhancement Object Recognition Problem Domain Colour Image Processing Image Compression

4. A digital image is produced by one or several image sensors, which, besides various types of light-sensitive cameras, include range sensors, tomography devices, radar, ultra-sonic cameras, etc.

6.  Used to improve the visual quality of image  To bring out details that are hidden in image  2 type techniques : (1) Spatial domain method , (2) Transform domain method

7.  Spatial domain method operates directly on pixels  Transform domain method operates on the Fourier transform of an image & then transform it back to spatial domain

9.  Used to remove the noise in the original image  Noise occur due to camera shake ,less light etc..  Filter are used to remove noise  Image restoration is the operation of taking a corrupted/noisy image and estimating the clean original image. Corruption may come in many forms such as motion blur, noises and camera miss focus.

11.  Tools for extracting image components that are useful in representation & description of shape  Used for edge detection  Is like convolution process

13.  Partitioning of image into sets of pixels  Classified as 2 techniques: 1.Local Segmentation 2.Global Segmentation  Local Segmentation: Segmenting sub-images which are small windows on a whole images. Number of pixel available to local seg is less than Global seg

14.  Global segmentation : Segmenting whole image .  The goal of segmentation is to simplify or change the representation of an image into something that is more meaningful and easier to analyse

16.  To recognize different parts in an image  To recognize color, shape and texture  Object recognition is the ability to perceive an object's physical properties (such as shape, colour and texture) and apply semantic attributes to the object, which includes the understanding of its use, previous experience with the object and how it relates to others.

18.  Representation: an object may be represented by its boundary.  An object can be represented by: its external characteristics, such as its boundary or its internal characteristics, such as its texture.  Description: the object boundary may be described by its length, orientation, or number of concavities 

20.  Compression is done for saving the disc space(represent image with minimum number of bits)  2 types of compression :  1. Lossy compression  2. Lossless compression  Lossy compression:  Here some of the information is lost

21.  Lossless compression: Reconstructed image will be same as the original image.  2 of the technique used in lossless compression: 1. run –length coding 2. Huffman coding

23.  Within 100 shades of grey- human eye can distinguish hundreds of thousands of different colours.  Image- contains more information.  Using this information we can simplify image analysis(eg. Object identification and extraction).

24.  Post-processing the image  images can be stored in the computer memory  initial cost

25.  Rescue  Visuals for blind

26. ANY QUESTION?

27. THANK YOU ☺ http://www.inspiritionalthoughts.wordpress.com

Stages of image processing

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Stages of image processing