Digital image processing has become economical in many fields like signature recognition, iris recognition and face recognition, in forensics, in automobile defect detection, and in military applications too. Image processing is making an impact on all the major technical fields. Such is the importance of learning image processing technology as early as possible.
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In the field of engineering science, image processing or computer vision is the use of algorithms to process an image so as to extract useful information from it. Image Processing is the fundamental technology for Pattern Recognition, Feature Extraction, and even classification. It is basically a method to convert an image to a digital form.
It is used for visualization, image sharpening, image retrieval, pattern recognition and image recognition also.
Sounds simple right? But learning image processing is not as easy as it sounds. As there are a lot of technical concepts used in image processing, the only way you can get skilled on it is by building innovative projects.
In this article, we will discuss some of the innovative image processing projects that you can build at home to the importance of integrating image processing technology in the current era.
To explain in simple terms - The method of image processing is used to do some processes on a picture like an image enhancement or to remove some functional data from the image.
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Check out the following simple and super innovative image processing projects!1. Surveillance Robot
Video surveillance is the process of monitoring a situation, an area or a person undetected. This generally occurs in a military scenario where surveillance of borderlines and enemy territory is essential to a country’s safety. Human surveillance is achieved by deploying personals near sensitive areas in order to constantly monitor for changes. But humans do have their limitations, and deployment in inaccessible places is not always possible.
There are also added risks of losing personnel in the event of getting caught by the enemy. With advancements in technology over the years, it is now possible to remotely monitor areas of importance by using robots in place of humans.
You will build one such surveillance robot with this project.
The control mechanism is provided with a video transmission facility. The video transmission is practically achieved through high-speed image transmission. Initially, the robot will be equipped with a camera which will capture the scenes and transfer the images to the server on which the user will be controlling and watching the live feed. You will be using the Raspberry Pi platform to implement this project.
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The goal of Text Recognition is to recognize the text from a printed hardcopy document to the desired format (like .docx). The process of Text Recognition involves several steps including pre-processing, segmentation, feature extraction, classification, post-processing. Pre-processing is done for the basic operation on input image like binarization which converts grey scale image into a binary image, noise reduction which removes the noisy signal from the image. Segmentation is done to segment the given image into line by line and segment each character from the segmented line. Future extraction calculates the characteristics of the character. A classification contains the database and does the comparison. Nowadays it plays an important role in office, colleges, etc.
In this project, you will build one such application using image processing algorithms like optical character recognition, perspective transformation, etc.
With this project, you can control and command the cursor of a computer or a computerized system using a camera. In order to move the cursor on the computer screen, the user simply has to move a coloured object on a surface within the viewing area of the camera. The video generated by the camera is analyzed using computer vision techniques and the computer moves the cursor according to the coloured object’s movements. The computer vision based mouse has a corresponding region where you can show dedicated coloured objects for clicking action.
You will build this project using various image processing algorithms like object tracking, canny edge detection, and object colour tracking.
Computational photography is a digital image processing technique that uses algorithms to replace optical processes, and it seeks to improve image quality by using machine vision. It is about taking studio effects that you achieve with Lightroom and Photoshop and making them accessible to people at the click of a button.
These days many research-oriented start-ups provide much of the computational technology to camera brands. With advanced image processing technology enabled by Computer Vision, you're able to smoothen the skin and get rid of blemishes. In the past, the technology behind ‘smooth skin’ and ‘beauty’ modes has essentially been about blurring the image to hide imperfections.
Now it’s about creating looks that are believable, and AI plays a key role in that.
With this application, you can also program it to automatically take a snap when you smile and look your very best. You will use various image processing algorithms like face detection, facial feature detection to develop this application.
Driver fatigue is a significant factor in a large number of vehicle accidents. The development of technologies for detecting or preventing drowsiness has been done through several methods, some researchers used EEG for drowsy detection and some used eye blink sensors. This project uses web camera for drowsy detection. The web camera is connected to the pc and images were acquired and processed by Matlab. The aim of this project is to develop a prototype drowsiness detection system. The focus will be placed on designing a system that will accurately monitor the eye movements of a driver real-time. By monitoring the eye movements, it is believed that the symptoms of driver fatigue can be detected early enough to avoid a car accident.6. Fake Currency detection using Image Processing
The approach presented in this project is based upon the physical appearance of the Indian currency. Image processing algorithms have been adopted to extract the features such as security thread, intaglio printing (RBI logo) and identification mark, which have been adopted as security features of Indian currency.
Through this project, you can just show the currency in front of the camera and find out whether it is fake or not.7. Colour-based Image Retrieval using Image Processing
An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images using the image as a query. It extracts the feature from an image using any feature extraction method and compare the features using distance metrics and rank the images based on the similarity. This project provides the source code from colour based image retrieval. It converts the RGB to HSV and uses a similarity matrix for correlation.
Digital image processing has become economical in many fields like signature recognition, iris recognition and face recognition, in forensics, in automobile defect detection and in military applications too. Each of these applications has its basic requirements, which may be unique from the others.
Everyone is concerned now and demands a system to be faster, more accurate, cheaper and with extensive computation. Innovators around the world have reviewed various image processing operations to illustrate their applications and to use them in different fields with minor changes in the methodology. This approach also discusses about the basic technical aspects of digital image processing with reference to be categorized into the following:
Importance of digital image processing and its applications are also discussed from the point of computer vision applications.
In layman terms, Image processing is a procedure of converting an image into digital form and carry out some operation on it, in order to get an improved image and to retrieve some important information from the image.
You should also note that, given the importance and growing potential of image processing field, it opens a wide array of job opportunities and scope for research and development.
Importance and necessity of digital image processing stems from two principal application areas: first, improvement of pictorial information for human interpretation and the second being the processing of a scene data for autonomous machine perception.
Digital image processing has a broad range of applications such as remote sensing, image, and data storage for transmission in business applications, medical imaging, acoustic imaging, forensic sciences, and industrial automation.
Images acquired by satellites are useful in tracking earth resources, geographical mapping, and prediction of agricultural crops, urban population, weather forecasting, flood and fire control.
Space imaging applications include recognition and analyzation of objects contained in images obtained from deep space-probe missions.
There are also medical applications such as processing of X-Rays, Ultrasonic scanning, Electron micrographs, Magnetic Resonance Imaging, Nuclear Magnetic Resonance Imaging, etc.
In addition to the above applications, digital image processing is now being used to solve a wide variety of problems. Though unrelated, these problems commonly require methods capable of enhancing information for human visual interpretation and analysis. The Image processing procedures such as image enhancement and restoration are used to process degraded or blurred images.
Successful applications of image processing concepts are found in astronomy, defense, and biology, medical and industrial applications. Medical Imaging is about processing the images used in the detection of tumors or other ailments.
And that is a very big list of applications. Now you know how image processing is making an impact on all the major technical fields. Such is the importance of learning image processing technology as early as possible.
The purpose of image processing is divided into 5 groups. They are:
The two types of methods used for Image Processing are Analog and Digital Image Processing. Analog or visual techniques of image processing can be used for the hard copies like printouts and photographs. Image analysts use various fundamentals of interpretation while using these visual techniques. The image processing is not just confined to an area that has to be studied but also on the knowledge of the analyst. So analysts apply a combination of personal knowledge and collateral data to image processing.
You can also gain valuable skills in image processing by building more projects. The better understanding you have on the concepts, the better will be your interpretation of results.
Digital Processing techniques help in the manipulation of digital images by using computers. This technique is mainly applied to the raw data from the satellite platform, which usually contains deficiencies. To get over such flaws and to get original information, the image has to undergo various phases of processing. The three general phases that all types of data have to undergo while using the digital technique are Preprocessing, enhancement and display, information extraction.
Current Research in this field has led to many groundbreaking medical industry advancements as listed below -
The above are the applications of image processing technology in one field. Imagine the number of image processing applications out there.
Such is the scope of learning this innovative technology. Getting skilled in this technology will surely put you ahead of your peers and help you land in an exciting career.
Hope you got some good information about image processing and innovative image processing project ideas from this article.
Suppose, if you want to build great image processing projects but don’t have the necessary technical knowledge, don’t worry!
We at Skyfi Labs have developed an interactive and practical learning methodology through which you can learn the latest technologies by building projects hands-on right from your home or college. With the course content available online 24x7 and 1-1 technical assistance provided, developing great expertise on latest technologies like image processing will never be tough for you!
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