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Cooking Well: Honey for Health & Beauty for honey well 5180 5180sr decoded miniature image scan engines
Cooking Well: Honey for Health & Beauty
1259 RUR
Image Retrieval: A Comparative Analysis of Leading Search Engines for honey well 5180 5180sr decoded miniature image scan engines
The World Wide Web has grown amazingly in the last two decades. Abundant information is available on the web and people regularly search the web to gather relevant information. Search engines play an important role in making users search the contents online using textual queries and other features to suite their requirements. Search engines now provide various added services too. This work presents critical evaluation of five popular search engines i.e. Google, Yahoo, AltaVista, Ask and Bing based on added features along with end-user experiences recorded during a survey. Images of thirty ambiguous words are retrieved from these search engines and analyzed and compared on the basis of their features, behaviour, functionalities, time taken, number of results and their versatility. The outcome of this study indicates the search engine(s) that provide good image results for ambiguous queries and the ones that provide the most features. We also put these search engines to various statistical comparisons including statistical tests to prove the hypothesis considered for this study. The results are elaborated using graphical interpretations.
6609 RUR
Satellite Image Retrieval using MBTC and Kekre Patterns for honey well 5180 5180sr decoded miniature image scan engines
Satellite images and Content Based Image Retrieval are interesting topics of research since years. Specifically, CBIR is on developing technologies for bridging the semantic gap that currently prevents wide-deployment of image content-based search engines. Image search engines currently in use are mostly rely on human generated data, such as text annotations. It is time-consuming as well as error prone. To overcome drawbacks of text based image retrieval, Content based image retrieval is introduced where retrieval of images is totally dependent on the features of images. In this Book an Image retrieval technique based on Modified Block Truncation Coding Combined with Kekre Transform Patterns is proposed. The technique is implemented of on database of satellite images. To test the performance of the technique, the objects are segregated from the same satellite images and fired as a query object. According to the proposed technique the most similar object blocks will be retrieved from the satellite images. From the results of CBIR on normal images and satellite images, performance of the technique can be compared and concluded.
4850 RUR
Content Based Image Retrieval for honey well 5180 5180sr decoded miniature image scan engines
Content-based image retrieval (CBIR), also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases. "Content-based" means that the search will analyze the actual contents of the image rather than the metadata such as keywords, tags, and/or descriptions associated with the image. The term 'content' in this context might refer to colors, shapes, textures, or any other information that can be derived from the image itself. CBIR is desirable because most web based image search engines rely purely on metadata and this produces a lot of garbage in the results. Also having humans manually enter keywords for images in a large database can be inefficient, expensive and may not capture every keyword that describes the image. This book discusses the novel idea of sectorization of the planes conceptualized out of the transformed images for feature extraction. The new idea of wavelet generation from the basic mathematical transforms has been used for the feature extraction as well.
7678 RUR
Substainable Designed Pearl Oysters for honey well 5180 5180sr decoded miniature image scan engines
Pearls developed from Maharashtra, Kerala and Karnataka verdant and pristine ponds of farmers value added Crafted image pearls /Mobe pearls is a dome shaped or image pearl produced by placing hemisphere or miniature image against the side of the oyster shell interior . The result is an exquisite pearly nacre coated miniature image of anything dear to humans. This miniature image can be made in to pendants, earrings, necklaces, bracelets and rings. The technology developed is very simple and can be easily carried out by farmers, unlike the technology for free round pearl production, where skilled hands and large capital are required. We promote the technology developed is very simple and training in rural development to motivate the agriculturists for adopting modern practices in agriculture.
4763 RUR