IMAGE PROCESSING

Image Processing is a method developed to digitize the image and perform some operations to obtain a specific image or extract useful information.It is a type of signal dispensation in which the input is an image, like a video frame or photograph, and the output may be an image or characteristics associated with that image.
The input of this method is an image, such as a video clip or a photograph. Its output corresponds to the part of the image that is desired or needs attention. Generally, the Image Processing system treats images as two-dimensional signals while applying predetermined signal processing methods.

Today, image processing systems used by businesses in various aspects are among the rapidly growing technologies. Image Processing is also the main research area in engineering and computer science disciplines.

Image processing basically includes the following three steps:

• Importing the image via image acquisition tools;
• Analysing and manipulating the image;
• Output in which result can be altered image or report that is based on image analysis.

Usage of Image Processing

Purpose and types of image processing can be divided into five main groups. These are

• Visualization: is used to find and observe objects that are not visible in the image.
• Image Recognition: is for distinguishing or detecting objects in an image.
• Image sharpening and restoration: to create a better image from the original image.
• Image retrieval: Browse and search images from a large database of digital images that are similar to the original image
• Pattern recognition: Measure the various patterns around the objects in the image.

Enhanced service for the most used image processing fields that stated below.