Image processing is the application of Machine Learning comprising a set of computational techniques for analyzing, enhancing, compressing, and reconstructing images. Its main components are importing i.e image capturing through digital photography; analysis and manipulation of the image, accomplished using various specialized software applications; and output (e.g., to a printer or monitor).
The applications of image analytics are endless. Organizations are starting to realize the possibilities of how to extract value from unstructured data, such as images or video footage, to create a new and enticing customer experience within retail, entertainment, transportation and airport security, insurance claims, and more.
What is Image Processing?
Image processing is a method of converting images into digital form by performing some operations on an image. It helps to give enhanced image or extract some useful information from it. It is a form of signal processing where input is an image and output may be image or characteristics/features associated with that image. There are many applications that can benefit from image recognition; image captioning and scene description. Law enforcement can use the technology to identify suspects from pictures. It can be a good utility to self driving cars by using 360 degree camera.
Image processing basically includes the following three steps:
There are two types of methods used for image processing:
Analogue image processing can be used for hard copies like prints and photographs. Image analysts use various fundamentals of interpretation while using these visual techniques.
Digital image processing techniques help in manipulating images by using computers. The three general phases of data during use of digital technique are pre-processing, enhancement, and display, information extraction.
Image is better to perceive than any other means of information form for human beings. Vision allows humans to receive and understand the world surrounding us.
Image understanding, image analysis, and computer vision aim to correspond the effect of human vision by digitally perceiving and understanding images.
Image processing methods have started to become increasingly sophisticated and the effort is to develop as much automation as possible. A common goal of image processing techniques applied to for example neuroimaging is to improve detection of abnormal brain tissue, including abnormalities that may not be readily recognizable by visual analysis independently.
Medical Image Processing is the technique of creating visual representations of a body’s interior for medical analysis, intervention, and visual representation of the function of organs or tissues. Medical imaging attempts to reveal internal structures underneath the skin and bones, as well as to diagnose and treat disease. Medical imaging also sets a database of normal anatomy and physiology to help identify abnormalities.
OCR (optical character recognition) is the technique of converting a scanned document into fully editable and searchable virtual files, transforming paper documents into formats such as Microsoft Word, Excel spreadsheets, CSV files and PDF searchable documents. Highly useful documents that are safeguarded from physical damages are created as a result of scanning digital file with OCR technology. It even allows businesses to have easier and quicker access to streams of data in a digital format.
Visual information is the most important type of perceiving, processing, and interpreting information by the human brain. 33.33% of human brain’s cortical area processes visual information. Digital image processing carries out automatic processing, manipulation and interpretation of such visual information, and it plays a significant role in many aspects of our daily life, with applications such as television, photography, robotics, remote sensing, medical diagnosis and industrial inspection.
Another imperative use of OCR is in banking, where it is utilized to process checks without human intervention. A check can be embedded with a machine where the framework filters the sum to be issued and the right measure of cash is exchanged. This innovation has been idealized for printed check, and is genuinely precise for handwritten checks diminishing the hold-up time in banks.
Automatic number plate recognition is utilized as a mass observation method making utilization of optical character recognition on pictures to recognize vehicle registration plates. ANPR has additionally been made to store the pictures caught by the cameras including the numbers caught from license plate. ANPR innovation own to plate variety from place to place as it is an area particular innovation. They are utilized by different police forces and as a technique for electronic toll accumulation on pay-per-use streets.
Handwriting recognition is the capacity of a PC to get and translate intelligible handwritten data from sources, for example, paper records, photos, touch-screens and different gadgets. The picture of the written content might be detected "off line" from a bit of paper by optical scanning (optical character recognition) or clever word recognition. On the other hand, the developments of the pen tip may be detected "on line", for instance by a pen-based PC screen surface.
To process printed material, medicinal services have likewise seen an expansion in the utilization of OCR innovation. Medicinal service experts continuously need to manage extensive volumes of documents for each patient, including protection frames and in addition general health forms. To stay aware of every one of this data, it is valuable to input relevant information into an electronic database. With OCR processing tools, we can extract data from structures and put it into databases, so that each patient's information is quickly recorded and retrieved when needed in future.
Receipt imaging is broadly utilized as a part of numerous organizations’ applications to monitor financial records and keep accumulation of payments from heaping up. In government offices and autonomous organizations, OCR simplifies information gathering and analysis, among different procedures.
Legal Industry: Legal industry is likewise one of the recipients of the OCR innovation. OCR is utilized to digitize documents, and to specifically enter into database. Legitimate experts can further search documents required from tremendous databases by basically writing a few keywords.
A CAPTCHA is a system that can create and grade tests that human can pass yet current software technology can't. Malicious programmer can make software to misuse personal information on websites. Dictionary attack is assault against secret word confirmed frameworks where a programmer composes a system to over and over attempt distinctive passwords like from dictionary of most regular passwords. In CAPTCHA, a picture comprising an arrangement of letters and numbers is produced with variety of size and textual styles, distracting backgrounds, arbitrary portions, highlights and noise so that text cannot be read via OCR. Current OCR frameworks can be utilized to evacuate the noise and portion the picture to make the picture tractable by such malicious users.