Madeline Loui and Allyse Toporek
Enhancement of Hyperspectral Imagery of Historical Documents
Several Weeks ago, Dr. Messinger attended a conference at Oxford Univeristy to present new computer processing methods to enhance the faded and illegible writings on images collected of historical documents. The work he presented was of images the university sent to him of the Gough Map of England. This document is around 600 years old and has undergone much work (updates) since its first creation. However, some of the ink has faded with time or other environmental factors and what remains of the ancient writing and pictures are grey, organic, unrecognizable structures or nothing at all.
We have worked to learn those computer processes and programs in the ENVI software and custom processing code created by Di Bai, a PhD student in CIS. We are using them on smaller sections of the overall Gough Map in order to identify the original, hidden texts and figures. These include, but are not limited to, Classification processes, Principal Components Analysis (PCA), and Spectral Angle Mapper (SAM). Our finished works will be sent along with those of Dr. Messinger and those of Di Bai to Oxford for analysis and, hopefully, description. A broader goal is to assess the different methods and their capabilities.
Enhancement of Hyperspectral Imagery of Historical Documents
Several Weeks ago, Dr. Messinger attended a conference at Oxford Univeristy to present new computer processing methods to enhance the faded and illegible writings on images collected of historical documents. The work he presented was of images the university sent to him of the Gough Map of England. This document is around 600 years old and has undergone much work (updates) since its first creation. However, some of the ink has faded with time or other environmental factors and what remains of the ancient writing and pictures are grey, organic, unrecognizable structures or nothing at all.
We have worked to learn those computer processes and programs in the ENVI software and custom processing code created by Di Bai, a PhD student in CIS. We are using them on smaller sections of the overall Gough Map in order to identify the original, hidden texts and figures. These include, but are not limited to, Classification processes, Principal Components Analysis (PCA), and Spectral Angle Mapper (SAM). Our finished works will be sent along with those of Dr. Messinger and those of Di Bai to Oxford for analysis and, hopefully, description. A broader goal is to assess the different methods and their capabilities.
No comments:
Post a Comment