Introduction to Application of Digital Image Processing
Application of Digital Image processing can understand stand by this that the fields and areas on which digital image has given its impact and became more and more useful for that sector, area or fields. We have wide range of areas where digital image has its good impact in other word you can find it in almost every sector that means processing of digital image has not been ends on the enhancing image quality or manipulation of it rather than it has more work than this. So today in this article we will have a look on some of the major applications of digital image processing and have good knowledge about that.
But before starting our discussion about application of digital Image processing let us have a quick look on what is digital image processing? Digital Image processing includes making changes in magnitude of image in two dimensions in limited range or in other word you can understand it by making different arrangement in pixels of image (which is an element of image) for enhancing image properties. I think now you have an idea where we can use digital image processing so let us have a good discussion on it for our better understanding about this topic.
Major Application of Digital Image Processing
We have number of application of digital image processing but in this article we will go through some of major applications. The very first application is in analysis of rays other than visible rays of Electromagnetic spectrum.
In Analysis of Rays of Electromagnetic Spectrum which can’t be Seen by Naked Eye
Before explaining this application of digital image processing we have to go through what we do in Electromagnetic Spectrum?It has different type of data of visible light that has seven colors such as violet, indigo, blue, green, orange, yellow and red in this sequence, we use a term (VIBGOYR) for these color on spectrum but we have some invisible rays with these rays such as x ray, gamma- ray and some other. These rays can’t be seen by naked eye but catch by camera so through digital image processing we can get analysis for these rays also.
The analysis of these rays is important because we use x-ray in different type of medical diagnos is purpose and same as we use Gamma rays in nuclear medicine as well as in observation of astronomical work. The next important application of digital image processing is Sharpening and Restoration of Image.
In Sharpening and Restoration
In this application we can enhance image properties by making some changes same as we doing in Photoshop which is a type of image editing software. We can remove blur or add blur according to our requirement, correction of tone of image, color conversion and many more image manipulation work. The next important application of our list is ‘Remote sensing’. Let us see what is it?
In Remote Sensing Field
During any disaster on our earth satellites scanned our earth surface from high distance for analysis of losses and for gathering other important data of earth’s surface we use remoting sensing techniques and it can easily done by the digital image processing for getting almost clear image of earth’s surface or data gathering objects. The next application is Transmission and Encoding area.
In Image Transmission and Encoding
We are used to watch lot of live video telecast within seconds and this transmission become possible due to digital image processing with high quality. Digital image processing also helps in encoding of high or low bandwidth images for streaming them on internet or other digital works. Let us move to next application which is Vision of machine or robots.
In Vision of Machine/Robot
Robot and some machines are helping us in many ways in enhancement of our day to day activity but there is some problem occurred in scanning and vision of these computerized and programmed systems. So digital image processing enhancing the vision ability of these machine and robot day by day by making different variation in its processing. Our next application is getting aware about any obstacles in the way of robots or any programmed system.
In Detection of Obstacles
By image processing we can easily scan object which comes in way of something as well as distance of that object for getting proper location of that object. This type of detection done by the robot and some computer guided equipment’s. Next is a clear guide line for robots.
In Correct Follow up Of Path of Robots
Robots’ working depends on program feeds in them and some are designed for working on repeated path so image processing helps in following of correct path of robot and enhance their working quality. Next is color processing.
Processing of Color of Image
In this processing we can encode colors of image also with them with the help of digital image processing during transmission, storage as well as encoding. It works on different colors which are compatible with digital platforms such as RGB, HSV and some other. Next is video processing.
In Video Processing as Well as Transmission
Video is sequenced set of image which changes in very fast fraction of sec and gives motion to those pictures. With digital image processing we can maintain color conversation from one frame to other frame during movement of picture in video, can maintain noise during processing, and many other similar work for having good quality of result. Next is pattern recognition.
In Recognition of Pattern
Everything in today’s world becoming digitalized and full of artificial intelligence and artificial intelligence has different type of patterned designed which can have determined by image processing easily.
Now after this article we can say that we have good knowledge about impact of digital image processing in different digital platforms and we can also make it useful for our personal work by analyzing fundamentals of digital image processing. You can go with our ‘Fundamentals of Digital Image processing’ article for having more knowledge about this.
This is a guide to Application of Digital Image Processing. Here we also discuss the introduction and major application of digital image processing along with an explanation. You may also have a look at the following articles to learn more –