Steps In Image Processing
Image processing is a method of signal processing for which input is an image and output is either an image or set of parameters related to the image. It is a system in which an input image is changed into digital form and carries out some mathematical operations on it, in order to get an enhanced image or to take out some helpful information from it. It is a type of signal resistance in which input is image, like video structure or photograph and output may be image or parameters connected with that image. Image processing consists of a large range of algorithms and mathematical operations. Thus image processing has a wide range of applications in various fields. Digital processing techniques help in manipulation of the digital images by using …show more content…
Image acquisition in image processing is constantly the first step in the workflow series because, without a picture, no processing is possible. This is the first step or process of the fundamental steps of digital image processing. Image acquisition could be as simple as being given an image that is already in digital form. Generally, the image acquisition stage involves preprocessing such as scaling etc. One of the ultimate goals of this process is to sharpening of image features such as boundaries or contrast so that graphic display can be improved for display and …show more content…
It is used to compress the number of bits required to represent the image information in the scene, without any loss of information.
(e) Color Image Processing
Color image processing having great importance because of the vast increase in the practice of digital images over the internet. This contains color modeling and processing in a digital field.
(f) Wavelets and Multiresolution Processing
Wavelets are used for signifying images in different level of resolution. It is used mainly for huge data compression and pyramidal demonstration where images are separated into smaller areas. Wavelets are useful in the procedure of X-ray and magnetic-resonance images in medical purposes.
(g) Morphological Processing
Morphological processing is a set of non-linear function which is linked to the shape or morphology features of an image. It deals with the apparatus used for the extraction process of an image and the components that are useful in the demonstration and explanation of shape.
(h) Segmentation
Image segmentation is a method of dividing a digital image into several segments (group of pixels, also called as super pixels). The aim of segmentation is to represent
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