Image Processing is a technique to enhance raw images received from cameras/sensors/medical devices placed on satellites, space probes and aircrafts or pictures taken in normal day to day life for various applications.
Various techniques have been developed in Image processing during the last 4-5 decades. Most of the techniques are developed to enhancing images obtained from unmanned spacecrafts, space probes and military reconnaissance flights. Image Processing systems are becoming popular due to easy availability of powerful personnel computers, large size memory devices, graphics software’s etc.
Image Processing is used in various applications such as:
- Remote Sensing
- Medical Image Processing – X-ray / MRI / CT Image Processing
- Non-destructive Evaluation
- Forensic Studies
- Textiles
- Material Science
- Military
- Film industry
- Document processing
- Graphic arts
- Printing Industry
The common steps in image processing are image scanning, storing, enhancing, segmentation and interpretation.
The various Image Processing techniques are:
- Image representation
- Image preprocessing
- Image enhancement
- Image restoration
- Image analysis
- Image reconstruction
- Image data compression
- Image Segmentation
- Image Morphology
Methods of Image Processing
There are two methods available in Image Processing.
- Analog Image Processing
- Digital Image Processing
The Image Processing algorithms are typically implemented on Matlab(R), OpenCV platforms. The Matlab has a image processing toolbox which contains many in-built functions which enables engineers to implement algorithms. Python programming, C/C++ are used to write image processing algorithms on OpenCV platform.
Lot of companies are looking for image processing experts. These jobs are based on Matlab, OpenCV, Python.
To get professional training on these platforms, you may visit itie Knowledge Solutions (www.itie.in) or ITIE Academy (www.itieacademy.com)
