International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 83 - Number 15 |
Year of Publication: 2013 |
Authors: Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri |
10.5120/14521-2926 |
Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri . Direct Processing of Run-Length Compressed Document Image for Segmentation and Characterization of a Specified Block. International Journal of Computer Applications. 83, 15 ( December 2013), 1-6. DOI=10.5120/14521-2926
Extracting a block of interest referred to as segmenting a specified block in an image and studying its characteristics is of general research interest, and could be a challenging if such a segmentation task has to be carried out directly in a compressed image. This is the objective of the present research work. The proposal is to evolve a method which would segment and extract a specified block, and carry out its characterization without decompressing a compressed image, for two major reasons that most of the image archives contain images in compressed format and 'decompressing' an image indents additional computing time and space. Specifically in this research work, the proposal is to work on run-length compressed document images.