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Shahid, Muhammad Alyas
- Content Based Image Retrieval Based on Color: A Survey
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1 Department of Computer Science, COMSATS Institute of Information Technology, Wah Cantt, PK
1 Department of Computer Science, COMSATS Institute of Information Technology, Wah Cantt, PK
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International Journal of Advanced Networking and Applications, Vol 7, No 3 (2015), Pagination: 2724-2735Abstract
Information sharing, interpretation and meaningful expression have used digital images in the past couple of decades very usefully and extensively. This extensive use not only evolved the digital communication world with ease and usability but also produced unwanted difficulties around the use of digital images. Because of their extensive usage it sometimes becomes harder to filter images based on their visual contents. To overcome these problems, Content Based Image Retrieval (CBIR) was introduced as one of the recent ways to find specific images in massive databases of digital images for efficiency or in other words for continuing the use of digital images in information sharing. In the past years, many systems of CBIR have been anticipated, developed and brought into usage as an outcome of huge research done in CBIR domain. Based on the contents of images, different approaches of CBIR have different implementations for searching images resulting in different measures of performance and accuracy. Some of them are in fact very effective approaches for fast and efficient content based image retrieval.
This research highlights the hard work done by researchers to develop the image retrieval techniques based on the color of images. These techniques along with their pros and cons as well as their application in relevant fields are discussed in the survey paper. Moreover, the techniques are also categorized on the basis of common approach used.
Keywords
CBIR, Color Histogram, Digitized Images, Image Indexing, Image Repositories, Vector Quantization.Full Text
- Disseminating Traffic Information in Vehicular Networks
Abstract Views :128 |
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Authors
Affiliations
1 Department of Computer Science, COMSATS Institute of Information Technology, Wah Cantt, PK
1 Department of Computer Science, COMSATS Institute of Information Technology, Wah Cantt, PK
Source
International Journal of Advanced Networking and Applications, Vol 7, No 3 (2015), Pagination: 2752-2755Abstract
In this paper Wifi based system is described for disseminating traffic information in vehicular networks. Basic aim of this approach is to distribute information regarding the traffic conditions such as traffic congestions or safety warnings to vehicles in an effective way.Keywords
Disseminating Traffic Information in Vehicular Networks, Base station, Mobile Node, WiFi, Wireless Sensor Networks.Full Text
- Content-Based Image Retrieval Features:A Survey
Abstract Views :188 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science, COMSATS Institute of Information Technology, WahCantt, PK
1 Department of Computer Science, COMSATS Institute of Information Technology, WahCantt, PK
Source
International Journal of Advanced Networking and Applications, Vol 10, No 1 (2018), Pagination: 3741-3757Abstract
Content-Based Image Retrieval (CBIR) systems have been used for the searching of relevant images in various research areas. In CBIR systems features such as shape, texture and color are used. The extraction of features is the main step on which the retrieval results depend. Color features in CBIR are used as in the color histogram, color moments, conventional color correlogram and color histogram. Color space selection is used to represent the information of color of the pixels of the query image. The shape is the basic characteristic of segmented regions of an image. Different methods are introduced for better retrieval using different shape representation techniques; earlier the global shape representations were used but with time moved towards local shape representations. The local shape is more related to the expressing of result instead of the method. Local shape features may be derived from the texture properties and the color derivatives. Texture features have been used for images of documents, segmentation-based recognition,and satellite images. Texture features are used in different CBIR systems along with color, shape, geometrical structure and sift features.Keywords
CBIR, Feature Extraction, Feature Selection, Color, Texture, Shape.Full Text
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