It involves the reduction of noise, enhancement of details, detection of any type of motion, conversion of aspect ratio, conversion of frame rate, conversion of colour space, and so on. The quality of a video depends on the number of frames per second. Well, most of you might be thinking what is any type of video doing in the applications of digital image processing? The answer is simple, video is nothing but just a very rapid movement of pictures. First of all, the objects are identified using digital image processing technology and after that the system for the changes in the pattern by machine learning. It is usually a combination of image processing and machine learning. This application finds use in a number of things like computer-supported diagnosis, handwriting recognition, image recognition, and so on. Perhaps this innovative application is made possible only due to this technology. All these help robots to move in a specific path and perform all the desired tasks. This is made possible by identifying the different types of objects or hurdles in the image and after that examining the distance between the robot and these objects.Īlmost every modern robots developed today work by following the line and that is why they are called line follower robots. This is one of the most common as well as one of the most favourite applications of this technology. The digital image processing technology has helped again, most of the robots which are made now are able to see things, identify them, identify hurdles, etc. Robots nowadays are not very rare but one of the biggest challenges faced by many countries is to increase the vision of a robot. An ample number of formats have been created for bandwidths ranging from low to high for encoding photos and then streaming them over the net. Well, it is not over yet, apart from transmission a lot of work has also been done in the field of encoding. We are able to see the live broadcast of all these things in a delay of only a few seconds. It is all because of this technology that we are able to see the live broadcast of any sporting event, or any important happening around the world, like the swearing ceremony of US President, live concerts of your favourite singers, press conferences, the US Masters, Wimbledon, NBA matches, FIFA World Cup, and so on. Digital image processing has emerged a kind of boon in this field. The very first image that was transmitted was through a wire and that too from London to New York via a submarine cable and that image took almost three hours in the process. It is used to analyse the image to detect the various kinds of damages done by an earthquake after that image is taken by a satellite from a high-level ground. Thus the solution to this problem is none other than digital image processing. Even if one tries to do so, then also it is really a very difficult and time-consuming process. The area affected by the earthquake is so wide that it is nearly impossible to examine it with human eyes in order to analyse the damage. The digital image processing technology has a very important role to play here, it detects the damages caused to infrastructure by an earthquake. This is commonly termed as remote sensing. We all know that our Earth is scanned by a satellite or sometimes at a very high level from the ground and then it is studied to obtain any crucial information about it. The things which it offers are very essential for all those who love to share pictures on social media or those who just love to click, click, click, and perhaps I guess that all those people form a major portion of the global population. As I mentioned earlier in the article that this technology also affects our lives in some way or other and we got one of the proofs here. The things included here are zooming, blurring, sharpening, converting from grey-scale to colour, edge detection, image retrieval, and image recognition. Image sharpening and restoration is the technique of processing images that have been captured from a camera in order to make them look more attractive or to edit those images in order to get the desired results. Now, without any further delay, let me quickly explain to you the applications of digital image processing technology: Medical field Applications of Digital image processing tech
0 kommentar(er)
