What Are The Applications Of Image Processing?

What Are The Applications Of Image Processing?

The demand for Image Processing Services has been increasing vigorously in every sector worldwide, today. Businesses and institutions are leveraging image processing solutions to make informed decisions.

What Is Image Processing?

Image processing is a technique that transforms an image into a digital form to enhance its quality and perform certain operations to extract some useful information from it.

There are two methods for processing an image: (i) Analog Image Processing- This technique is used on hard copies and the output is always an image. (ii) Digital Image Processing- This technique is used on digital images. It uses a computer algorithm to manipulate the image and the result could either be an image or information related to it.

The image processing technique is divided into eight key phases, which are: ➢ Image Acquisition- Scales and converts the color of an image on a digital platform ➢ Image Enhancement- Identify the hidden details and use editing tools to make image aesthically appealing ➢ Image Restoration- This step also makes image appealing but this steps works on mathematical changes of the image ➢ Color Image Processing- Use color modelling ➢ Image Compression - Compresses data for easy and light storage ➢ Morphological Processing- Uses several tools to extract different components of the image ➢ Object Recognition- Label objects ➢ Representation And Description- Raw image is transformed to processed image In this era of digitalization, almost every industry is utilizing image processing services.

The solution is being widely used in medical visualization, biometrics, gaming, surveillance and other spheres.

Some of the main purposes of digital image processing are listed here: : ● Visualization- Observe invisible objects ● Measurement- Determine the objects in the image ● Sharpening and Restoration- Enhances the quality of an image ● Pattern Recognition- Classify every object in the image ● Retrieval- Helps in searching images Applications Of Image Processing With the ever-growing technology, digital image processing applications are penetrating almost all the fields at a very fast rate. Let’s explore it: ➔ Computer Vision- It is used in artificial systems to acquire information from images or video signals to then decide the outcome or next action to be taken. ➔ Face Detection- It helps in the analysis and matching of integral facial features to help with the detection and identification of faces. Face detection is a type of object class detection and is used extensively in security and surveillance work. ➔ Video Processing- It’s also an important part of digital systems. Video Processing used in television sets, DVDs and video players to run and display visual data. ➔ Remote Sensing- Remote sensing uses real-time wireless sensors to gather information about an object at a distance. ➔ Biometric Analysis- Image processing has found multiple uses in the field of medicine with it being a major source of image diagnosis. Also, it helps in the improvement of techniques such as Computed Tomography and Magnetic Resonance Imaging, helping doctors get better diagnostics, and hence, detect diseases faster. ➔ Image Reconstruction- Image processing can be used to recover and fill in the missing or corrupt parts of an image. This involves using image processing systems that have been trained extensively with existing photo datasets to create newer versions of old and damaged photos.