Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hewayda M. Lotfy"'
Publikováno v:
Soft Computing. 23:9647-9655
Reduction in storage and number of operations are considered through avoiding the representation of zeros in storage as well as in the calculations. The importance of this approach has its effect in large problems that appear in numerical treatments
Publikováno v:
Journal of Advanced Research
Characterization of user activities is an important issue in the design and maintenance of websites. Server weblog files have abundant information about the user’s current interests. This information can be mined and analyzed therefore the administ
Publikováno v:
Journal of Real-Time Image Processing. 15:235-247
Data clustering usually requires extensive computations of similarity measures between dataset members and cluster centers, especially for large datasets. Image clustering can be an intermediate process in image retrieval or segmentation, where a fas
Autor:
Hewayda M. Lotfy, Adel Elmaghraby
Publikováno v:
2006 IEEE International Symposium on Signal Processing and Information Technology.
This paper presents a Fuzzy Expert System that demonstrates a labeling method for multiple-object images based on the histogram analysis. The images are rock textures, and objects to be labeled are the constituent minerals. The system is used to expl
Autor:
Adel Elmaghraby, Hewayda M. Lotfy
Publikováno v:
Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, 2004..
A region-based image retrieval is an approach for more efficient and semantically meaningful retrieval using description of image regions. In this paper we present a novel cluster oriented image retrieval system. A cluster is a collection of regions
Autor:
Adel Elmaghraby, Hewayda M. Lotfy
Publikováno v:
ICTAI
A major problem raised by a region-based image retrieval system is the proper description of regions for efficient and semantically meaningful retrieval. We present CoIRS a novel cluster oriented image retrieval system. A distinguishing aspect of CoI
Publikováno v:
Scopus-Elsevier
Image clustering can be viewed as a segmentation problem in which small image patches are grouped together based on their features. Rock texture segmentation is a challenging task since the texture is often nonhomogeneous. In this contribution, the n
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