Krishna Murthy, A. and Raghunandan, K. S. and Suresha, S. (2014) Flash webpage segmentation based on image perception using DWT and morphological operations. In: Proceedings of the Third International Conference on Soft Computing for Problem Solving.
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Web page segmentation is an important step for many applications such as Information Retrieval, Noise Removal, Full Text Search, Information Extraction, and Automatic page adaptation and so on can benefit from this structure. Many segmentation methods have been proposed on HTML Web page segmentation whereas Flash Web pages have been omitted because of their less availability. But in recent days, we can see many Flash Web pages taking their appearance. In this paper, we are proposing segmentation method by using image processing techniques after processing Web pages as images, because of their unavailability of semantic structure. We perform the experimental analysis based on ground truth analysis (actual blocks in Web page as per human perception) and obtained the better performance level. We also measure the usefulness of Flash Web page blocks.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Image processing, Image segmentation, Mathematical morphology, Morphological operations, Semantics, Social networking (online), Information retrieval, Websites, Experimental analysis, Segmentation methods, Web page segmentation, Haar wavelets, Image processing technique, Problem solving, Semantic structures, Semantic Web, Soft computing, Web blocks |
| Subjects: | D Physical Science > Computer Science |
| Divisions: | Department of > Computer Science |
| Depositing User: | Arshiya Kousar Library Assistant |
| Date Deposited: | 26 Jun 2019 05:46 |
| Last Modified: | 26 Jun 2019 05:46 |
| URI: | http://eprints.uni-mysore.ac.in/id/eprint/3699 |
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