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The Research of Based on Visual Features Image Classification Retrieval Technology

Author: ZhangYingJun
Tutor: ZhouHaiYing
School: University of North
Course: Computer Software and Theory
Keywords: Image Retrieval Visual features Feature Extraction Similarity measure Adaptive Feature
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 106
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Abstract


With the rapid development of Electronic Science and Technology and the Internet speed improvement and popularity, it is easy to acquire, exchange and transfer vast amounts of video and image data. How fast and accurate retrieval of the required data from the mass of image data become one of today urgent problem. The emergence of the image retrieval technology easy for people to retrieve the image data, so far, the image retrieval technology can be divided into two categories: text-based image retrieval technology and content-based image retrieval technology. Text-based image retrieval technology, the first artificial image extract keywords used to describe the contents of the image contains text mode to retrieve the corresponding image, and then use the database query technology. Visual features of the image such as color, texture, contour and shape features extracted from the image content-based image retrieval technology, first, and then retrieve images and image library corresponding characteristics of metrics compare to retrieve similar images . Feature extraction, similarity measurement, feedback and performance evaluation is based on several key technology in the content-based image retrieval technology. Image extract keywords in the text-based image retrieval, there are some limitations, such as artificial workload is too many images is difficult to accurately express their words, human subjectivity lead to different people at different times. occasions limitations also have a different understanding of the same image, encourage people to pay more attention to content-based image retrieval technology. In this paper, several key technology of image retrieval based on visual features - user interface, feature extraction, similarity measure, relevance feedback, high-dimensional indexing technology and performance evaluation study, analysis, and several typical retrieval algorithms and On this basis, an improved histogram-based image retrieval technology. There are two proposed starting point for the algorithm, the color space HSV space close to human visual characteristics, and the introduction of spatial information to improve the inadequate the traditional histogram lack spatial information, better retrieval effect. In addition, through the theoretical and experimental analysis proved the ability to distinguish between different image content with different image retrieval based on color and texture features, then this paper, an adaptive image retrieval method. Based on research done in front end design a scalable image retrieval system using Delphi 6.0 and SQL Server 2000, provides an experimental platform for research.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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