| dc.contributor.author |
Aysha, V |
|
| dc.contributor.author |
Dr.Kannan, B |
|
| dc.date.accessioned |
2014-04-26T04:45:58Z |
|
| dc.date.available |
2014-04-26T04:45:58Z |
|
| dc.date.issued |
2013-06-30 |
|
| dc.identifier.uri |
http://dyuthi.cusat.ac.in/purl/3679 |
|
| dc.description |
Dept of Computer Applications
Cochin University of Science and Technology |
en_US |
| dc.description.abstract |
The work is intended to study the following important aspects of
document image processing and develop new methods. (1) Segmentation ofdocument images using adaptive interval valued neuro-fuzzy method.
(2) Improving the segmentation procedure using Simulated Annealing
technique. (3) Development of optimized compression algorithms using
Genetic Algorithm and parallel Genetic Algorithm (4) Feature extraction of
document images (5) Development of IV fuzzy rules.
This work also helps for feature extraction and foreground and
background identification. The proposed work incorporates Evolutionary and
hybrid methods for segmentation and compression of document images. A
study of different neural networks used in image processing, the study of
developments in the area of fuzzy logic etc is carried out in this work |
en_US |
| dc.description.sponsorship |
Cochin University of Science and Technology |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Cochin University Of Science And Technology |
en_US |
| dc.subject |
Document Image Processing |
en_US |
| dc.subject |
Image Segmentation |
en_US |
| dc.subject |
Image Compression |
en_US |
| dc.subject |
Fuzzy Sets |
en_US |
| dc.subject |
Simulated Annealing |
en_US |
| dc.title |
Document Image Segmentation and Compression using Artificial Neural Networks and Evolutionary Methods |
en_US |
| dc.type |
Thesis |
en_US |