Digital image processing is widely used in different fields like

i. Medicine

ii. Forensics

iii. Remote Sensing

iv. Communications

v. Automobiles

Medicine

Digital image processing techniques like image segmentation and pattern recognition is used in digital mammography to identify tumors.

Techniques like image registration and fusion play a crucial role in extracting information from medical images, in the field of telemedicine, loss Jess corn press ion algorithms allow the medical images to be transmitted effectively from one place to another.

Forensics

Security can be enhanced by personal identification. Different biometrics used in personal identification are face, fingerprint, iris, vein pattern, etc. Preprocessing of the input data is necessary for efficient personal identification.

Commonly used preprocessing techniques include edge enhancement, denoising, skeletonsation, etc. Template-matching algorithms arc widely used for proper identification.

Remote Sensing

Remote sensing is the use of remote observations to make useful inferences about a target. Observations usually consist of measurements of electromagnetic radiation with different wavelengths of the radiation carrying a variety of information about the earth's surface and atmosphere.

Remote sensing is being used increasingly to provide data for diverse applications like planning, hydrology, agriculture, geology and forestry.

The image processing techniques used in the field of remote sensing include image enhancement, image merging and image-classification techniques. Multispectral image processing and texture classification arc some of the useful image-processing techniques in the remote-sensing field.

Communications

With the growth multimedia technology, information can easily transmitted through the Internet Video conferencing helps the people in different locations to interact lively. For video conferencing to be effective, the information has to be transmitted fast Effective image and video compression algorithms like JPEG, JPEG2000, H.26X standards help to transmit the data effectively for live video conference.

Automobiles

The latest development in the automotive sector is 'night vision system'. Night vision system helps to identify obstacles during night time to avoid accidents. Infrared cameras are invariably used in a night-vision system. The image-processing techniques commonly used in a night-vision system include image enhancement, boundary detection and object recognition.