What is the use of image fusion?

The purpose of image fusion is to combine information from multiple images of the same scene into a single image that ideally contains all the important features from each of the original images. The resulting fused image will be thus more suitable for human and machine perception or for further image processing tasks.

What is meant by image fusion?

The image fusion process is defined as gathering all the important information from multiple images, and their inclusion into fewer images, usually a single one. This single image is more informative and accurate than any single source image, and it consists of all the necessary information.

What is image fusion algorithm?

The process of Image fusion can be defined as the process of combining multiple input images into a single composite image. Our aim is to create a single output image from the collection of input images which contains a better explanation of the view than the one provided by any of the individual input images.

What is image fusion in radiation therapy?

Image registration and fusion are often used in treatment planning to combine information obtained from different imaging modalities (e.g., MR, PET, SPECT, and CT) together for delineation of tumor volumes and/or normal tissues.

What is the advantage of image fusion?

The advantages of image fusion include image sharpening, feature enhancement, improved classification, and creation of stereo data sets. Multisensor image fusion provides the benefits in terms of range of operation, spatial and temporal characteristics, system performance, reduced ambiguity and improved reliability.

What is digital image with example?

A digital image is a representation of a real image as a set of numbers that can be stored and handled by a digital computer. In order to translate the image into numbers, it is divided into small areas called pixels (picture elements).

What is the difference between image registration and image fusion What are examples of each?

Image registration — the process of determining the geometric transformation that relates identical (anatomic) points in two image series: a moving dataset (Study A) and a stationary source dataset (Study B). Image fusion — the combined display of the mapped data from the moving dataset with the stationary dataset.

What is fusion technique?

The multisensor information fusion technique is a major information support tool for system analysis and health management that can cross-link, associate, and combine data from different sensors, reducing target perception uncertainty and improving target system integrated information processing and response …

What are the examples of image processing?

Examples of image processing

  • Rescaling Image (Digital Zoom)
  • Correcting Illumination.
  • Detecting Edges.
  • Mathematical Morphology.
  • Evaluation and Ranking of Segmentation Algorithms.