期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：7
出版社：S.S. Mishra
摘要：In recent days, web information retrieval through various search engines plays an important role in quick access of knowledge. This information retrieval includes both textual and image extraction. The search engine serves the user query result in an indexed way which introduces the proper ranking of the relevant results. It is desirable that higher quality information should have higher priority i.e. higher ranking in that particular indexing. In this research work, we have put forward our emphasis on the improvement of image ranking in the area of search engine optimization (SEO) based on the quality of an image. The quality improvement for image refers to the "peeper and salt" noise reduction from the image by Cellular Automata (CA) based image processing techniques. The experimental result signifies that this proposed methodology is capable of providing an improved image ranking
关键词：Search Engine Optimization (SEO); Information Extraction; Page-Ranking; Image-Ranking; Image Processing; ;Noise Filtering; Peeper & Salt Noise Removal; Cellular Automata (CA)
