Uses of Image Processing
In this blog, we will discuss some important uses of image processing in the modern world with examples.
Some uses of image processing explained here are:
- Filtering, cropping, and changing the resolution of the image:
- Using in the medical field to find images of broken bones and even diagnose diseases
- Uses of image processing in the agricultural field by locating bugs and intruders
- Use in Computer Vision as it enables computers to gain information from processing images
- Using it in Space to take pictures of stars, galaxies, comets, etc.
- Remote sensing: to generate information about land or object without any physical contact with it.
- Hurdle detection: to detect the presence of objects in a place
What is Image processing?
Digital Image Processing consists of the various techniques and methods involved in the manipulation of images on a computer. In simple and easy words, Input an image, change or process it and then generate the result as you want. The result doesn’t need to be just an image, it can also be the text or action performed because of the image.
Simply, the computer is instructed by software to perform certain operations when the image is provided to it. Digital Image will be given to it as input and then after applying image processing algorithms it will give us an image in the way that we wanted as a result. The best example can be Snapchat or Adobe Photoshop.
With time, image processing has become more advanced and improved which as a result also increased its applications.
Some of its important uses are:
- Filtering, cropping, and changing the resolution of the image:
Changing the size of the image or colors and adding new effects to the image has become easier than ever. Many software like Adobe, Canva and Affinity photo and many other photo editing software provide such features.
2. Using in the medical field:
Image processing is used to make images of the human body and especially its organs which will help us to find injuries and diagnose diseases. It helps us create 3D image datasets of the human body, mostly done from an X-ray, Computed Tomography (CT), or Magnetic Resonance Imaging (MRI) scanner to diagnose diseases or guide medical interventions such as surgical planning, or for research purposes.
3. Uses of image processing in the agricultural field:
Image processing can be used to detect accurately pests or intruders. Also observing the crops manually is very hard and inaccurate. With the use of image processing measuring such factors as soil, water, air humidity and the growth rate of crops has become easier and more accurate. Image processing technology in the agricultural field plays an important role in the development of the agricultural field.
4. Use in Computer Vision:
Computer vision is a field of artificial intelligence that enables computers and systems to gain information from digital images, videos, and other visual inputs and produce results or take actions. Image Processing also plays an important role here. Computer vision uses the image and generates patterns according to given algorithms and then takes actions from it as a result. Just as humans can differ between images or take decisions according to given situations.
For example, a video camera installed on a driverless car has to detect people, cars, or other physical things in front of it and distinguish them from their sizes, shape speed, and other distinctive features. Or, we may want to compare the direction of the original ball and the projected ball in a cricket game.
5. Uses of Image processing in Space:
With the increase in the advancement of image processing, the space sector is also making full use of it. The main purpose of image processing is to gain clear pictures of stars, galaxies, and even Earth from space.
The best example of the use of image processing in space will be James Webb Space
The James Webb Space Telescope (JWST) is a space telescope designed for the purpose of conducting infrared astronomy. The thing that makes it James Webb Space telescope special, is its ability to see deeper into the Universe than its predecessor Hubble, opening a new era of cosmology. As the largest optical telescope in space and with so much investment in it, the infrared resolution has greatly improved and its sensitivity allows it to view objects that are old, distant, or faint for the Hubble Space Telescope.
This is expected to enable new gates of research across the fields of astronomy and cosmology, such as observation of the new stars and the formation of the first galaxies, discovering new space comets or any upcoming asteroids, and detailed atmospheric characterization of potentially habitable exoplanets.
Image processing has been bright because with its advancements not only we can improve just the view of images but also open the possibility of seeing those things that are hidden from us, especially in space. The universe is massive and expanding each day, new stars and galaxies are created with the passage of time. The thing that gives us hope here is our ability to view those things from just this tiny planet with the help of image processing. Earth makes up about 0.0003% of the total mass of our solar system or it makes up only 0.2% of the total mass of the planets. From that earth, we can get images of such views of space. Then imagine how far we can go. Remember every field like medicine, engineering has the potential to break the limit and make discoveries. Image processing is also one of them.
6) Remote sensing:
Remote sensing is the process of Physical data of an object without touch or contact. This is mostly used in areas that are damaged by natural hazards. Because it allows us to quickly find the current state of land and detect any kind of life from there which will help us to deploy help there is there are so many people trapped in that effective land.
The area of Earth or affected place is inspected by a satellite or from high grounds with the help of drones or planes and then it is analyzed to obtain information on a clear and accurate image of the land. One of the best applications of digital image processing in the field of remote sensing is to detect infrastructure damages caused by an earthquake which helps to determine the level of damage caused to the land.
The biggest benefit is that this work is less time-consuming and produces accurate results as compared to searching land manually to create a report about the situation.
7) Hurdle Detection: Hurdle detection is the obstacle detection system that uses ultrasonic sensors to find the presence of the objects in the place and generate an image, telling how many objects are ahead and at what difference they are.
This application of image processing is mostly used in cars. As you know that there are more than a thousand deaths every year due to car accidents. That’s why to minimize this, the object detection system is used in cars as it helps the car to determine the presence of objects in front of it and also find the distance between those objects and itself. if the distance between them dangerously gets smaller, it will detect it and stop or minimize its speed.
The self-driving cars also use this system to drive.