We discuss some wonders in the field of image processing with machine learning advancements.
Image processing can be defined as the technical analysis of an image by using complex algorithms. Here, image is used as the input, where the useful information returns as the output. According to a report, the image processing industry will reach USD 38.9 billion by 2021.
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Meanwhile, the Artificial Intelligence industry is also turning to a considerable growth curve. According to Forbes, It is believed that AI and machine learning have the potential to create an additional $2.6T in value by 2020 in Marketing and Sales, and up to $2T in manufacturing and supply chain planning.
Beforehand image processing only suggested examining the discrete targets in an image. Making use of AI and machine learning can return in a lot of differences in the image processing industry. Google Lens is one such reinforcement that delivers the use of deep machine learning and AI to process complex images. Imagine you are walking around a Garden in some foreign country and you want to know the name of some flowers. Since you are in a distant country, you can’t understand the language written on the message board. What would you do? No need to worry, Google Lens an app launched by Google, which uses Image processing techniques along with AI technologies and deep machine learning can come to your redemption again. Google Lens identifies and explains what it flashes to give actions based on that. The only thing you have to do is point your phone at a specific flower and then ask Google Assistant what the object you’re looking at is.
AI has facilitated in the development of software that can acknowledge and explain the contents in an illustration. AI and machine learning can do real wonders in the realm of image processing. Some of the changes that can be drawn about in different industries are as follows:
Image analysis can be of great use in the healthcare industry. Computer vision software based on deep learning algorithms is already making things more comfortable in the healthcare industry. Such software is making automated analysis possible to deliver more accurate results at a fast rate. Most of the hospitals haven’t started using such technologies yet. When appropriately used, such technologies help us to reduce dependency on manual analysis. From macroscopic to microscopic, including molecular imaging, can be made use of to achieve advanced and accurate diagnostic procedures. Image processing can play a crucial role in Tumor Diagnosis. Areas where machine learning and AI can be applied, are as follows:
- Medical X-ray: In most hospitals around the world, radiologists are made to study the X-ray to search for anomalies. By making use of automated image analysis with advanced deep learning algorithms, the burden on the radiologists can be reduced, and more accurate and faster results can be obtained. Such analysis can help radiologists in taking appropriate decisions. As a result, Radiologists need to focus only on those reports in which image analysis marks as important.
- Patients: Automated image analysis can be of great use to the patients. They no longer have to wait for days to know about their diagnosis results. The results they would be getting will be more accurate without any human errors.
Medical robots allow doctors to perform delicate diagnoses and surgeries by making use of extremely high-quality 3-D images that wouldn’t have been available otherwise. Even To know more about the benefits of image processing in the healthcare industry visit iflexion
It was challenging for the defense personnel to access some specific locations since they don’t know what lies ahead. The progression of image processing has revolutionized warfare effectively. Remote-controlled drones can now be used to capture perceptions of such places and later analyzed using deep learning algorithms.
Monitoring cameras which give an alert when a person is near the door can be even made to understand who that person is. Image processing can make it happen and will change the world completely.
The Automobile industry has seen the greatest metamorphosis in the prior decade, but nothing can overcome the innovation this industry is about to witness, which is- Self-Driving Cars. Self-driving cars are the eternity and are the greatest ever thing to happen in the industry. Self-driving cars do all the driving for us; we can do whatever we want. Imagine the world where would be reaching places without any traffic blocks and other complications. Doesn’t it look pretty awesome? Thanks to image processing and deep learning self-driving cars will help reduce the number of collisions also. Self-driving cars work based on Object detection. Object detection involves image distribution and image localization. Image classification is identifying what the objects are in the image and image localization is about providing specific locations about this object. This is achieved by making use of AI and machine learning technologies.
To know more about self-driving cars and how they work, check out this article.
As far the Agriculture Industry is concerned, Image Processing, simultaneously with AI, can be defined as a game-changer in the new era. This helps in increasing the quality of any product. In order to detect the weeds, we can use this method. Weeds are those foreign plants that are grown in the fields, and it competes with the crops to get better environmental conditions, including water, fertilizers and even sunlight. It adversely affects the growth of crops. Edge-based machine classifiers can detect these weeds. Infrared image analysis assists in understanding and monitoring of irrigation systems. Even the infrared image analysis can be used to prognosticate the harvest time. Computer vision and image processing can also be used to rate fruits and food stocks based on color, volume and shape. Automated quality analysis of food products can help farmers preserve a lot.
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Benefits of Image processing and how AI will transform the world of image processing is not limited to the points discussed above. We are still at the beginning stages of image processing, and we are yet to identify the greatest potential. Still, there survives uncertainty about whether the image processing has potential to that of individual vision. There are also lots of problems connected with the accommodation of vast data that is captured by cameras all around the world. We are still conveying lots of research and investigation to examine more about the inclinations of image processing. We can expect that day is near where technology will transform the way we live.
Sandra Moraes is the Content Management Specialist at Datahut. Professionally she is a Data Scientist and researched Data Analytics. She authored on Data Science and Customer relationship.
LinkedIn: Sandra Moraes