Image processing, Segmentation, Threshold, Acquisition, Enhancement.
|PUBLISHED DATE||June 2017|
|PUBLISHER||The Author(s) 2017. This article is published with open access at www.chitkara.edu.in/publications|
In today’s scenario image processing is one of the vast growing fields. It is a method which is commonly used to improve raw images which are received from various resources. It is a kind of signal processing. This paper provides an overview of image processing methods. The main concern of this paper is to define various techniques used in different phases of image processing.
Image processing is spreading in various fields. Image processing is a method which is commonly used to improve raw images which are received from various resources . It is a technique to transform an image into digital form and implement certain actions on it, in order to create an improved image or to abstract valuable information from it. It is a kind of signal dispensation where image is an input and output is also an image or features related with image. The purpose of image processing is distributed into several groups which are given below.
Visualization: Image processing is used to identify those objects which are not detectable.
Image sharpening and restoration: In image processing, various techniques are applied on the picture to produce a better image.
Image retrieval: By image processing user can detect only that portion of the picture which is relevant to the user.
Pattern measurement: Numerous elements in an image are measured.
Image Recognition: Substances in an image are recognized.
Image processing use mathematical procedures for processing of images. Two methods used for processing of images are analog image processing and digital image processing.
|ISSN||Print : 2321-3906, Online : 2321-7146|
Image processing is used to enhance the quality of the picture that is taken from various resources. This paper discuss various image processing methods like as image representation, segmentation, compression, acquisition, image enhancement etc. These techniques are used in numerous areas. The method that we are choosing depends upon the application area. Every technique having its own pros and cons.