ABSTRACT
PROJECT OUTPUT
Image fusion is the technique of merging several images from
multi-modal sources with respective complementary information to form a
new image, which carries all the common as well as complementary
features of individual images. With the recent rapid developments in the
domain of imaging technologies, multisensory systems have become a
reality in wide fields such as remote sensing, medical imaging, machine
vision and the military applications.
Image fusion provides an effective way of reducing this
increasing volume of information by extracting all the useful
information from the source images. Image fusion creates new images that
are more suitable for the purposes of human/machine perception, and for
further image-processing tasks such as segmentation, object detection
or target recognition in applications such as remote sensing and medical
imaging. The overall objective is to improve the results by combining
DWT with PCA and non-linear enhancement. The proposed algorithm is
designed and implemented in MATLAB using image processing toolbox. The
comparison has shown that the proposed algorithm provides a significant
improvement over the existing fusion techniques.
PROJECT VIDEO
Contact:
Mr. Roshan P. Helonde
Mobile:+91-7276355704
WhatsApp:+91-7276355704
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